Par ma double formation en mathématiques appliqués et en informatique, mes activités de recherche ont tout d'abord porté sur l'analyse des systèmes complexes, notamment la mise en place d'une méthode générique permettant de les modéliser. J'ai appliqué mes travaux à un système récent, appelé à devenir un renouveau économique et informatique à travers le monde : le Smart Grid. Mes travaux de thèses ont pu être enrichis grâce à la participation à de nombreux projets parmi lesquels EPIT2.0, ECO2CHARGE ou SNCF Versailles Chantiers à travers la chaire Econoving ou le laboratoire PRiSM de l'Université de Versailles Saint Quentin-en-Yvelines (UVSQ). Les discussions et l'interaction avec de grands groupes industriels et de laboratoire de recherche tels que Bouygues, Alstom, Embix, Renault, Supélec, Mines - Sophia Antipolis, l'Observatoire socio-économique de Versailles et l'INRIA m'ont apporté les informations pour généraliser le concept de Smart Grid à un réseau sans limite de taille ou de technologies. Aujourd'hui, je suis professeur associé à l'École Supérieur d'Ingénieurs Paris-La Défense, au sein du groupe de recherche Smart Grid et enseignant dans la majeure Nouvelles Énergies. Le recoupement de spécialistes de divers domaines permet d'expérimenter les algorithmes aussi bien en modélisation, qu'en simulation réelle.
Pierron Victor; Guillaume Guérard
Surveys on Physical Based Methods for State of Charge, State of Health and Fault Detection on a Li-Ion Battery Article de journal
Dans: Smart Grids and Sustainable Energy, vol. 10, no. 23, 2025.
@article{victor_3437,
title = {Surveys on Physical Based Methods for State of Charge, State of Health and Fault Detection on a Li-Ion Battery},
author = {Pierron Victor and Guillaume Guérard},
url = {https://link.springer.com/article/10.1007/s40866-025-00254-4},
year = {2025},
date = {2025-02-01},
journal = {Smart Grids and Sustainable Energy},
volume = {10},
number = {23},
abstract = {he quest for efficient and reliable energy storage systems has driven significant advancements in the field of physical-based methods for State-of-Charge and State-of-Health assessment of batteries. This paper presents a comprehensive overview of these methods, leveraging fundamental principles of physics and materials science to unveil the intricate dynamics within battery systems. Covering techniques like Coulomb counting, Open Circuit Voltage analysis, Peukert's equation, Electrochemical Impedance Spectroscopy, Gas Chromatography, and cutting-edge imaging approaches such as X-ray Diffraction and Magnetic Resonance Imaging, this review elucidates the principles, instrumentation, and applications of each method. Moreover, it delves into recent breakthroughs that enhance their accuracy and applicability. These physical-based methods not only empower battery management systems but also hold the key to advancing electric vehicles, renewable energy solutions, and a sustainable energy future.},
keywords = {},
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}
Kheireddine Kadri; Achraf Kallel; Guillaume Guérard; Abir Ben Abdallah; Sebastien Ballut; Joseph Fitoussi; Mohammadali Shirinbayani
Prediction of Ductile Damage in Composite Material Used in Type IV Hydrogen Tanks by Artificial Neural Network and Machine Learning with Finite Element Modeling Approach Article de journal
Dans: Energy Technology, vol. 13, no. 1, p. 2401045, 2025.
@article{kadri_3256,
title = {Prediction of Ductile Damage in Composite Material Used in Type IV Hydrogen Tanks by Artificial Neural Network and Machine Learning with Finite Element Modeling Approach},
author = {Kheireddine Kadri and Achraf Kallel and Guillaume Guérard and Abir Ben Abdallah and Sebastien Ballut and Joseph Fitoussi and Mohammadali Shirinbayani},
url = {https://onlinelibrary.wiley.com/doi/10.1002/ente.202401045},
year = {2025},
date = {2025-01-01},
journal = {Energy Technology},
volume = {13},
number = {1},
pages = {2401045},
abstract = {This study investigates the degradation process of composite materials used in high-pressure hydrogen storage vessels by employing advanced computational techniques. A recurrent neural network, specifically a bidirectional long short-term memory (Bi-LSTM) network, is utilized to predict the temporal evolution of ductile damage. The key degradation features are extracted from finite element modeling (FEM) computations using group method of data handling algorithms and treated as time-series data. Results demonstrate that the Bi-LSTM network can accurately undergo both elastic and plastic behaviors of the composite under tensile strength. Additionally, traditional machine learning (ML) algorithms such as extreme gradient boosting and random forest are employed to forecast strain degradation, showing promising results. This hybrid approach combining FEM, ML, and deep learning provides a comprehensive method for predicting the degradation of composite materials, offering significant potential for optimizing the design and durability of hydrogen storage vessels.},
keywords = {},
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}
Soumyadeep PATY; Arindam BISWAS; Sonia Djebali; Guillaume Guérard; Supreeti KAMILYA
IoT-Enabled Methane Monitoring and LSTM-Based Forecasting System for Enhanced Safety in Underground Coal Mining Article de journal
Dans: ACM Transactions on Internet of Things, vol. 6, no. 1, 2025.
@article{paty_3212,
title = {IoT-Enabled Methane Monitoring and LSTM-Based Forecasting System for Enhanced Safety in Underground Coal Mining},
author = {Soumyadeep PATY and Arindam BISWAS and Sonia Djebali and Guillaume Guérard and Supreeti KAMILYA},
url = {https://dl.acm.org/doi/pdf/10.1145/3703460},
year = {2025},
date = {2025-01-01},
journal = {ACM Transactions on Internet of Things},
volume = {6},
number = {1},
abstract = {Ensuring safety in the mining industry is a critical concern for a nation's industrial advancement. Industry 4.0, characterized by the integration of advanced technologies, is at the forefront of efforts to enhance mining practices. Coal seams contain a range of
hydrocarbon gases, predominantly methane, which is released in significant quantities during mining operations. Effectively
mitigating methane emissions is imperative. The inclusion of methane forecasting allows for the early identification of potential methane emissions, hence results in significance enhancement in mine safety. The research work is focused on real-time remote monitoring and cloud-based forecasting of methane levels in underground coal mines. An Industrial Internet of Things (IIoT) device is developed for data acquisition in underground coal mines, capturing essential parameters such as methane concentration,
temperature, and humidity. The collected data are utilized to train LSTM based multivariate forecasting model. The trained model is
subsequently deployed in the cloud. The experiment is performed in a mine of Eastern Coalfields Limited, India. After the deployment
of the proposed model, the developed IIoT device transmits real-time data, obtained from the mine, to the cloud. Based on the real
time data, our model conducts methane forecasting and communicates results back to the IIoT device. The device issues immediate
alerts when methane levels surpass predefined thresholds. This ensures enhanced safety in mining operations by providing warnings
for both current and forecasted methane concentrations. The forecasted methane concentrations, along with real-time data, are
accessible through mobile applications and a web-based dashboard. The accuracy of the proposed model is measured by mean
absolute error, mean absolute percentage error and root mean square error, which demonstrate values of 156.95 ppm, 4.23% and
191.53 ppm respectively. A comparative study is performed where our model is evaluated against the multivariate Multilayer
Perceptron (MLP), Vector autoregression (VAR) and Auto-Regressive Integrated Moving Average (ARIMA) models. The comparative
study demonstrates that our developed model outperforms the others, showing superior results.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kheireddine Kadri; Achraf Kallel; Guillaume Guérard; Abir Ben Abdallah; Joseph Fitoussi; Sebastien Ballut; Mohammadali Shirinbayani
Study of composite polymer degradation for high pressure hydrogen vessel by machine learning approach Article de journal
Dans: Energy Storage, vol. 6, no. 4, p. e645, 2024.
@article{kadri_3073,
title = {Study of composite polymer degradation for high pressure hydrogen vessel by machine learning approach},
author = {Kheireddine Kadri and Achraf Kallel and Guillaume Guérard and Abir Ben Abdallah and Joseph Fitoussi and Sebastien Ballut and Mohammadali Shirinbayani},
url = {https://doi.org/10.1002/est2.645},
year = {2024},
date = {2024-06-01},
journal = {Energy Storage},
volume = {6},
number = {4},
pages = {e645},
abstract = {The aim of this paper is to study the degradation of a composite material under static pressure. The high pressure condition is similar to the one encountered inside hydrogen tanks. Damage modeling was used to evaluate the behavior of hydrogen tanks to high pressure. A practical approach, coupling a finite element method (FEM) simulation and machine learning algorithm (ML), is suggested. The representative volume element (RVE) was used in association with a choice of a behavior law and a damage law as an input data. Algorithms for ML classification such as K-nearest neighbors (k-NN) and a special k-NN with a dynamic time warping (DTW) metric were used. The hierarchical clustering through dendrograms visualizations allowed to exhibit the impact of composite parameters in relation to fiber, matrix properties and fiber volume fraction on the strain degradation under external static pressure. Continuing this, the optimum RVE which shows a low degradation value will be exhibited.},
note = {Scimagojr Q3 en Energy},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sonia Djebali; Guillaume Guérard; Ihab Taleb
Survey and insights on digital twins design and smart grid's applications Article de journal
Dans: Future Generation Computer Systems-The International Journal Of Escience, vol. 153, p. 234-248, 2024.
@article{djebali_2538,
title = {Survey and insights on digital twins design and smart grid's applications},
author = {Sonia Djebali and Guillaume Guérard and Ihab Taleb},
url = {https://www.sciencedirect.com/science/article/pii/S0167739X23004466},
year = {2024},
date = {2024-04-01},
journal = {Future Generation Computer Systems-The International Journal Of Escience},
volume = {153},
pages = {234-248},
abstract = {Digital twins are a promising technology for simulating complex systems, especially in the smart grid domain. This paper offers a comprehensive literature review on digital twins, focusing on data gathering, data management, and human-in-the-loop control design aspects. Emphasizing the integration of AI and machine learning in big data, it enhances analytics and decision-making capabilities. We introduce a collaborative framework involving multiple stakeholders to maximize the potential of digital twins. The paper examines digital twin applications in smart grids, covering areas like asset management, predictive maintenance, energy optimization, and demand response. By synthesizing research and implementation findings, we identify trends, challenges, and opportunities in the field.},
keywords = {},
pubstate = {published},
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}
Guillaume Guérard; Quentin Gabot; Sonia Djebali
Tourism profile measure for?data?driven tourism segmentation Article de journal
Dans: International Journal Of Machine Learning And Cybernetics, 2024.
@article{guerard_2939,
title = {Tourism profile measure for?data?driven tourism segmentation},
author = {Guillaume Guérard and Quentin Gabot and Sonia Djebali},
url = {https://link.springer.com/article/10.1007/s13042-024-02145-z},
year = {2024},
date = {2024-04-01},
journal = {International Journal Of Machine Learning And Cybernetics},
abstract = {The digital revolution has brought about profound changes in research within the tourism segmentation field. The ease of grasping tourists' behaviors is facilitated by the digital traces left on social networks. Existing studies focusing on tourists' digital traces typically apply clustering algorithms to the tourism context. This paper introduces a novel measure, named tourism profile measure for determining tourism segmentation, also known as tourism profiling. The approach involves establishing a new clustering algorithm that centers on stays conducted by tourists, utilizing both the context and content of the trips. The proposed measure is then simulated and experimentally evaluated using a real dataset across various periods and diverse nationalities, particularly in the context of the French capital, Paris.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Loup-Noé Levy; Jérémie Bosom; Guillaume Guérard; Sofiane Ben Amor; Marc Bui; Hai Tran
DevOps Model Appproach for Monitoring Smart Energy Systems Article de journal
Dans: Energies, vol. 15, no. 15, p. 5516, 2022.
@article{levy_1924,
title = {DevOps Model Appproach for Monitoring Smart Energy Systems},
author = {Loup-Noé Levy and Jérémie Bosom and Guillaume Guérard and Sofiane Ben Amor and Marc Bui and Hai Tran},
url = {https://www.mdpi.com/1996-1073/15/15/5516},
year = {2022},
date = {2022-07-01},
journal = {Energies},
volume = {15},
number = {15},
pages = {5516},
abstract = {Energy systems are often socio-technical complex systems that are facing new challenges regarding technological and environmental changes. Because of their complex nature, they cannot be approached solely through analytical modeling, hence the inefficiency of most classical modeling approaches. In this article, a Hybrid Approach based on both systemic and analytical modeling is presented and applied to a case study. From this novel approach, a model?the Multi-Institution Building Energy System?is presented. It allowed us to highlight and detail the need for greater governance of energy systems. The socio-technical solutions identified to answer the issues of governance (Accuracy, Reliability and Fairness) were DevOps methodology and the use of Distributed Microservices Architecture. Based on this framework, the design of a Decision Support System assuring and exploiting state-of-the-art scalable tools for data management and machine learning factories is described in this article. Moreover, we wish to set up the conceptual basis necessary for the design of a generic theoretical framework of optimization applicable to complex socio-technical systems in the context of the management of a shared resource.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ihab Taleb; Guillaume Guérard; Nga Nguyen; Frédéric Fauberteau
A Flexible Deep Learning Method for Energy Forecasting Article de journal
Dans: Energies, vol. 15, no. 11, p. 3926, 2022.
@article{taleb_1836,
title = {A Flexible Deep Learning Method for Energy Forecasting},
author = {Ihab Taleb and Guillaume Guérard and Nga Nguyen and Frédéric Fauberteau},
url = {https://www.mdpi.com/1996-1073/15/11/3926},
year = {2022},
date = {2022-05-01},
journal = {Energies},
volume = {15},
number = {11},
pages = {3926},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Guillaume Guérard; Hugo Pousseur; Ihab Taleb
Isolated Areas Consumption Short-Term Forecasting Method Article de journal
Dans: Energies, vol. 14, no. 23, p. 7914, 2021.
@article{guerard_1732,
title = {Isolated Areas Consumption Short-Term Forecasting Method},
author = {Guillaume Guérard and Hugo Pousseur and Ihab Taleb},
url = {https://www.mdpi.com/1996-1073/14/23/7914},
year = {2021},
date = {2021-11-01},
journal = {Energies},
volume = {14},
number = {23},
pages = {7914},
abstract = {Forecasting consumption in isolated areas represents a challenging problem typically resolved using deep learning or huge mathematical models with various dimensions. Those models require expertise in metering and algorithms and the equipment needs to be frequently maintained. In the context of the MAESHA H2020 project, most of the consumers and producers are isolated. Forecasting becomes more difficult due to the lack of external data and the significant impact of human behaviors on those small systems. The proposed approach is based on data sequencing, sequential mining, and pattern mining to infer the results into a Hidden Markov Model. It only needs the consumption and production curve as a time series and adapts itself to provide the forecast. Our method gives a better forecast than other prediction machines and deep-learning methods used in literature review.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Anais Augias; Sofiane Ben Amor; Philippe Charlier; Guillaume Guérard
USoM platform. Proposal for an international and transdisciplinary interactive tool for centralization and anthropological exchange around human remains Article de journal
Dans: ETHICS, MEDICINE AND PUBLIC HEALTH, vol. 18, p. 100677, 2021.
@article{augias_1604,
title = {USoM platform. Proposal for an international and transdisciplinary interactive tool for centralization and anthropological exchange around human remains},
author = {Anais Augias and Sofiane Ben Amor and Philippe Charlier and Guillaume Guérard},
url = {https://www.sciencedirect.com/science/article/pii/S2352552521000542},
year = {2021},
date = {2021-09-01},
journal = {ETHICS, MEDICINE AND PUBLIC HEALTH},
volume = {18},
pages = {100677},
abstract = {Background
In a previous article related to ethical reflection around the study of human remains and their biological products in archaeological, ethnographic and museum contexts, a general scientific isolation - going against the common interest and leading to certain forms of misconduct - had been raised. It appeared a real need to act in the direction of transparency and a transdisciplinary union.
Methodology
This conclusion led to further reflection on the strengths and technical creation of a tool dedicated to the exchange between sciences relating to the study of man.
Results/Discussion
We propose the creation of a platform dedicated to all international scientific actors whose issues are related to research on humans. This involves proposing the development of a participatory/collaborative virtual platform on which scientific organizations would exchange their study materials, their samples, their tools, their knowledge, their reflections and hypotheses and then the resulting data in order to no longer work in isolation.
Conclusion/Perspectives
This multidisciplinary vision to the study of Man, without spatial or chronological boundaries, will be a contribution to each of the disciplines involved and the benefits of this platform are multiple. However, this coalition approach exposes academic, technical and legal difficulties and represents a real challenge because it requires profound changes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Guillaume Guérard; Ider Tseveendorj
Inscribed ball and enclosing box methods for the convex maximization problem Article de journal
Dans: Optimization Letters, vol. 10, no. 2, p. 417-432, 2015.
@article{guerard_627,
title = {Inscribed ball and enclosing box methods for the convex maximization problem},
author = {Guillaume Guérard and Ider Tseveendorj},
url = {https://link.springer.com/article/10.1007%2Fs11590-015-0981-5},
year = {2015},
date = {2015-12-01},
journal = {Optimization Letters},
volume = {10},
number = {2},
pages = {417-432},
abstract = {Many important classes of decision models give rise to the problem of finding a global maximum of a convex function over a convex set. This problem is known also as concave minimization, concave programming or convex maximization. Such problems can have many local maxima, therefore finding the global maximum is a computationally difficult problem, since standard nonlinear programming procedures fail. In this article, we provide a very simple and practical approach to find the global solution of quadratic convex maximization problems over a polytope. A convex function achieves its global maximum at extreme points of the feasible domain. Since an inscribed ball does not contain any extreme points of the domain, we use the largest inscribed ball for an inner approximation while a minimal enclosing box is exploited for an outer approximation of the domain. The approach is based on the use of these approximations along with the standard local search algorithm and cutting plane techniques.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Guillaume Guérard
Smart Grid and Optimization Article de journal
Dans: American Journal of Operations Research, vol. 3, no. 1A, p. 11, 2013.
@article{guerard_1615,
title = {Smart Grid and Optimization},
author = {Guillaume Guérard},
url = {https://www.scirp.org/html/13-1040207_27556.htm},
year = {2013},
date = {2013-01-01},
journal = {American Journal of Operations Research},
volume = {3},
number = {1A},
pages = {11},
abstract = {With urging problem of energy and pollution, smart grid is becoming ever important. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives will not change such as optimizing production, transmission and consumption. Studying the smart grid through modeling and simulation provides us with valuable results which can not be obtained in real world due to time and cost related constraints. However, due to the complexity of the smart grid, achieving optimization is not an easy task, even using computer models. In this paper, we propose a complex system based approach to the smart grid modeling, accentuating on the optimization by combining game theoretical and classical methods in different levels. Thanks to this combination, the optimization can be achieved with flexibility and scalability, while keeping its generality.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Guillaume Guérard
Survey on smart grid modelling Article de journal
Dans: International Journal Of Data Mining And Bioinformatics, vol. 4, no. 4, p. 262-279, 2012.
@article{guerard_1616,
title = {Survey on smart grid modelling},
author = {Guillaume Guérard},
url = {https://www.inderscienceonline.com/doi/abs/10.1504/IJSCC.2012.050822},
year = {2012},
date = {2012-12-01},
journal = {International Journal Of Data Mining And Bioinformatics},
volume = {4},
number = {4},
pages = {262-279},
abstract = {Smart grid is a vague concept with little theoretical studies. We propose in this paper a state of the art on smart grids to clarify the concept and identify the important issues. We analyse different visions to bring out the characteristics of smart grids.
This term refers to an electrical optimised network integrating the behaviour and actions of users (generators, consumers, consume-actors, etc.). These power grid's upgrades aim: to improve quality and security, to reduce environmental impact, and allow consumers to play a regulation role in the system.
Current simulations are done on specific cases and with a limited evolution. A better knowledge of the smart grid structure and characteristics would give a more effective and more efficient, global modelling. Smart grids have many characteristics corresponding to complex systems. We propose to analyse these similarities to reach a better understanding and a holistic view of smart grid's concept.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Achraf Kallel; Guillaume Guérard; Abir Ben Abdallah; Sebastien Ballut; Joseph Fitoussi; Mohammadali Shirinbayani
Study of composite polymer degradation by finite element model and machine learning approach Conférence
6th Global 6th Global Webinar on 3D Printing and Additive Manufacturing, Paris, France, 2023.
@conference{kallel_2700,
title = {Study of composite polymer degradation by finite element model and machine learning approach},
author = {Achraf Kallel and Guillaume Guérard and Abir Ben Abdallah and Sebastien Ballut and Joseph Fitoussi and Mohammadali Shirinbayani},
url = {https://globalscientificguild.com/},
year = {2023},
date = {2023-12-01},
booktitle = {6th Global 6th Global Webinar on 3D Printing and Additive Manufacturing},
address = {Paris, France},
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Guillaume Guérard; Sofiane Ben Amor; Maxence Choufa; Sonia Djebali; Clement Cornet; Loup-Noé Levy; Hai Tran
Pretopology-based Clustering for Mixed Data Conférence
ROADEF 2023, Rennes , France, 2023.
@conference{guerard_2244,
title = {Pretopology-based Clustering for Mixed Data},
author = {Guillaume Guérard and Sofiane Ben Amor and Maxence Choufa and Sonia Djebali and Clement Cornet and Loup-Noé Levy and Hai Tran},
url = {https://roadef2023.sciencesconf.org/436878/document},
year = {2023},
date = {2023-02-01},
booktitle = {ROADEF 2023},
address = {Rennes , France},
abstract = {The energy performance of buildings represents a major issue of the 21st century. Many
solutions have been discussed to improve buildings' energy performance [1, 4], but the actions
to take differ from one building to another. In other words, current solutions are built on
a case-by-case basis and cannot be extrapolated easily. Indeed, it is difficult to find generic
solutions due to their complexity and heterogeneity.
By placing buildings in groups and subgroups, one can define relevant energy optimization
recommendations without auditing each building individually. Because initial labels are not
always defined, clustering is relevant in our case. Since we seek for intrinsic similarities between
groups and subgroups, hierarchical clustering is needed. Buildings are described with mixed
data. They include numerical data such as surface or number of floors, and categorical data like
types of heating or insulation materials. Few clustering algorithms exist for mixed data, and
even fewer are hierarchical. In this article, we present a method for the hierarchical clustering
of mixed data based on pretopology.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Ihab Taleb; Guillaume Guérard; Frédéric Fauberteau; Nga Nguyen
A Holonic Smart Grid Model for Isolated Areas Conférence
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Forum, Grenoble, France, 2022.
@conference{taleb_1934,
title = {A Holonic Smart Grid Model for Isolated Areas},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {https://2022.ecmlpkdd.org/index.php/phd-forum/},
year = {2022},
date = {2022-09-01},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, PhD Forum},
address = {Grenoble, France},
abstract = {Since the beginning of the $21$st century, smart grid models are gaining more and more importance as they play a major role in the demand side management and the flexible integration of renewable energy sources. Indeed, diverse architectures and models have been proposed for smart grids. In this paper, we propose a model composed of two parts, the first part is to optimize, on a weekly scale, thermal generation, and energy storage while prioritizing renewable energy sources to minimize global costs and global warming effects. The second part consists of, having optimized production and storage, the negotiation between neighboring holons on the same level using evolutionary game theory, combined with simulated annealing and Q-learning approaches to ensure a back and forth between the various levels.},
keywords = {},
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tppubtype = {conference}
}
Quentin Gabot; Guillaume Guérard; Sonia Djebali
Tourists profiling by interest analysis Conférence
Groupe de Recherche : Masses de Données, Informations et Connaissances en Sciences (MADICS), CNRS Lyon, France, 2022.
@conference{gabot_2245,
title = {Tourists profiling by interest analysis},
author = {Quentin Gabot and Guillaume Guérard and Sonia Djebali},
url = {https://www.madics.fr/},
year = {2022},
date = {2022-07-01},
booktitle = {Groupe de Recherche : Masses de Données, Informations et Connaissances en Sciences (MADICS)},
address = {Lyon, France},
organization = {CNRS},
abstract = {With the recent digital revolution, analyzing of tourists' behaviorsand research fields associated with it have changed profoundly.It is now easier to examine behaviors of tourists using digital traces they leave during their travels. The studies conducted on diverse aspects of tourism focus on quantitative aspects of digital traces to reach its conclusions.In this paper, we suggest a study focused on both qualitative andquantitative aspect of digital traces to understand the dynamics governing tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Lillia Ben Baccar; Sonia Djebali; Guillaume Guérard
Prédiction de Circuit Touristique par Data Mining Séquentielle Conférence
Premier Symposium GDR MaDICS, Rennes, France, 2019.
@conference{ben_baccar_889,
title = {Prédiction de Circuit Touristique par Data Mining Séquentielle},
author = {Lillia Ben Baccar and Sonia Djebali and Guillaume Guérard},
url = {http://www.madics.fr/event/titre1551974198-3309/#posters},
year = {2019},
date = {2019-06-01},
booktitle = {Premier Symposium GDR MaDICS},
address = {Rennes, France},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Zeinab Nehai; Guillaume Guérard
Integration of the Blockchain in a Smart Grid Model Conférence
14th International Conference of Young Scientists on Energy Issues, Kaunas, Latvia, 2017.
@conference{nehai_274,
title = {Integration of the Blockchain in a Smart Grid Model},
author = {Zeinab Nehai and Guillaume Guérard},
url = {http://cyseni.com/archive/},
year = {2017},
date = {2017-05-01},
booktitle = {14th International Conference of Young Scientists on Energy Issues},
address = {Kaunas, Latvia},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Estelle Cathelineau; Loup-Noé Levy; Guillaume Guérard
Smart Grid: From raw data to a digital model Conférence
14th International Conference of Young Scientists on Energy Issues, Kaunas, Latvia, 2017.
@conference{cathelineau_275,
title = {Smart Grid: From raw data to a digital model},
author = {Estelle Cathelineau and Loup-Noé Levy and Guillaume Guérard},
url = {http://cyseni.com/archive/},
year = {2017},
date = {2017-05-01},
booktitle = {14th International Conference of Young Scientists on Energy Issues},
address = {Kaunas, Latvia},
keywords = {},
pubstate = {published},
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Pascal Clain; Insaf Khelladi; Christophe Rodrigues; Alessandro Biancalani; Guillaume Guérard; Saeedeh Rezaee Vessal
Increase Social Acceptability of Nuclear Fusion, Agrivoltaics, and Offshore Wind Through National Support Programmes Book Section
Dans: A. Crowther, Foulds (Ed.): Strengthening European Energy Policy: Governance Recommendations From Innovative Interdisciplinary Collaborations, p. pp. 101-113, Palgrave Macmillan, 2024, ISBN: 978-3-031-66481-6.
@incollection{clain_3168,
title = {Increase Social Acceptability of Nuclear Fusion, Agrivoltaics, and Offshore Wind Through National Support Programmes},
author = {Pascal Clain and Insaf Khelladi and Christophe Rodrigues and Alessandro Biancalani and Guillaume Guérard and Saeedeh Rezaee Vessal},
editor = {Crowther, A., Foulds, C., Robison, R., Gladkykh, G. (eds)},
url = {https://link.springer.com/chapter/10.1007/978-3-031-66481-6_8},
issn = {978-3-031-66481-6},
year = {2024},
date = {2024-09-01},
booktitle = {Strengthening European Energy Policy: Governance Recommendations From Innovative Interdisciplinary Collaborations},
pages = {pp. 101-113},
publisher = {Palgrave Macmillan},
abstract = {Policy Highlights - To achieve the recommendation stated in the chapter title, we propose the following:
- Facilitate the establishment of observatories to monitor social acceptability of low-carbon energy technologies at the EU and national levels.
- Offer technical assistance to help Member States incorporate social acceptability factors into their energy transition strategies.
- Develop training programmes to integrate social acceptability factors into the design of low-carbon energy projects from the start.
- Assist countries in managing and resolving disputes and interactions regarding different low-carbon energy technologies.
- Social Sciences and Humanities (SSH) Science, Technology, Engineering and Mathematics (STEM) collaborative recommendations can ensure policies are informed by a nuanced understanding of technical and social structures, making them more practical and widely accepted.},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
Guillaume Guérard
From Simulation to Digital Twins of Socio-Economico-Techical Complex Systems Proceedings Article
Dans: 8th International Conference on Technologies & Organization, Paris, France, 2024.
@inproceedings{guerard_3075,
title = {From Simulation to Digital Twins of Socio-Economico-Techical Complex Systems},
author = {Guillaume Guérard},
year = {2024},
date = {2024-05-01},
booktitle = {8th International Conference on Technologies & Organization},
address = {Paris, France},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Ihab Taleb; Guillaume Guérard; Frédéric Fauberteau; Nga Nguyen
Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids Proceedings Article
Dans: International Conference on Agents and Artificial Intelligence, p. 95-112, Springer, Lisbon, Portugal, 2024.
@inproceedings{taleb_2936,
title = {Holonic Energy Management Systems: Towards Flexible and Resilient Smart Grids},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {https://link.springer.com/chapter/10.1007/978-3-031-55326-4_5},
year = {2024},
date = {2024-03-01},
booktitle = {International Conference on Agents and Artificial Intelligence},
volume = {14546},
pages = {95-112},
publisher = {Springer},
address = {Lisbon, Portugal},
edition = {LNCS},
abstract = {The increasing global warming and soaring fossil fuel prices have made energy generation minimization a crucial objective. As a result, the relevance of smart grids has significantly grown, especially in the context of regulating energy demand based on available resources. This necessitates the implementation of Demand Side Management (DSM) tools for effective regulation. While various models and architectures have been developed for smart grids, the utilization of holonic architectures remains limited in existing literature. In this paper, we propose a holonic architecture specifically tailored for smart grids, which proves to be highly advantageous. Holonic architectures are particularly valuable in smart grids as they enable seamless operation among different actors, even during technical challenges. Our proposed model consists of interconnected agents forming holons, with five agents working in tandem to ensure flexibility across multiple aspects. We have tested this model in three different scenarios. The first scenario represents a healthy grid. The second scenario simulates a grid with production mismanagement. Lastly, the third one simulates a grid experiencing a region-specific blackout. Results show how the grid distributes the available energy depending on the available production, storage (if any) and the assurance of the distribution across the various requesting holons.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Omics Challenges in Health and Biology Proceedings Article
Dans: ROADEF 2024, Amiens, France, 2024.
@inproceedings{guerard_3074,
title = {Omics Challenges in Health and Biology},
author = {Guillaume Guérard and Sonia Djebali},
url = {https://roadef2024.sciencesconf.org/},
year = {2024},
date = {2024-03-01},
booktitle = {ROADEF 2024},
address = {Amiens, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Guillaume Guérard; Loup-Noé Levy
Clustering Mixed Data Comprising Time Series Proceedings Article
Dans: SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, p. 110-117, Ho Chi Minh, Vietnam, 2023, ISBN: 9798400708916.
@inproceedings{djebali_3062,
title = {Clustering Mixed Data Comprising Time Series},
author = {Sonia Djebali and Guillaume Guérard and Loup-Noé Levy},
url = {https://doi.org/10.1145/3628797.3628968},
issn = {9798400708916},
year = {2023},
date = {2023-12-01},
booktitle = {SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology},
pages = {110-117},
address = {Ho Chi Minh, Vietnam},
abstract = {The health and medicine sector is currently experiencing significant transformations, such as the integration of artificial intelligence in the decision-making process. In this complex system, there is a continuous data flow consisting of quantitative, qualitative, ordinal types, and time series. Hierarchical clustering is a useful tool to handle this complexity. However, clustering mixed data containing time series without distorting the inherent nature of the data poses a challenge. Although there are existing clustering techniques for mixed data or time series, the literature does not address the clustering of mixed data and time series. This paper presents several methodologies for such data clustering, including a novel algorithm based on pretopology. This hierarchical algorithm allows for customizable logical clustering, enabling health experts to better interpret and utilize the results for classification and recommendation by analyzing the hierarchy of clusters.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Quentin Gabot; Guillaume Guérard
Hierarchical Clustering and Measure for Tourism Profiling Proceedings Article
Dans: 6th APWeb-WAIM International Joint Conference on Web and Big Data, p. 158-165, Nanjing, China, 2023.
@inproceedings{djebali_1936,
title = {Hierarchical Clustering and Measure for Tourism Profiling},
author = {Sonia Djebali and Quentin Gabot and Guillaume Guérard},
url = {https://link.springer.com/chapter/10.1007/978-3-031-25198-6_12},
year = {2023},
date = {2023-02-01},
booktitle = {6th APWeb-WAIM International Joint Conference on Web and Big Data},
volume = {13422},
pages = {158-165},
address = {Nanjing, China},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ihab Taleb; Guillaume Guérard; Frédéric Fauberteau; Nga Nguyen
A holonic multi-agent architecture for smart grids Proceedings Article
Dans: International Conference on Agents and Artificial Intelligence, Lisbon, Portugal, 2023.
@inproceedings{taleb_2237,
title = {A holonic multi-agent architecture for smart grids},
author = {Ihab Taleb and Guillaume Guérard and Frédéric Fauberteau and Nga Nguyen},
url = {http://www.wikicfp.com/cfp/servlet/event.showcfp?copyownerid=90704&eventid=167079},
year = {2023},
date = {2023-02-01},
booktitle = {International Conference on Agents and Artificial Intelligence},
address = {Lisbon, Portugal},
abstract = {The global warming and the increase of fossil fuel prices make the minimization of energy generation animportant objective. Thus, smart grids are becoming more and more relevant in a context where we want toregulate the demand according to the available energy. This regulation can be operated thanks to Demand SideManagement (DSM) tools. While different models and architectures have been developed for smart grids,only few papers used holonic architectures. For this, we propose in this paper a holonic architecture for smartgrids. This type of architectures is relevant to smart grids as it allows the various actors in the grids to workeven in the cases of technical problems. Holons in the proposed model are composed of five interconnectingagents that ensure flexibility on the various aspects. This model has been tested and has proven to work on3 different scenarios. The first scenario simulates a grid in its healthy state. The second one simulates agrid where a region can be disconnected from a blackout for example. The third one simulates a grid withproduction mismanagement. Results show how the grid distributes the available energy depending on theavailable production, priorities (if any) and the assurance of the distribution across the various requestingholons.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Flavien Deseure-Charron; Sonia Djebali; Guillaume Guérard
Clustering Method for Touristic Photographic Spots Recommendation Proceedings Article
Dans: 18th International Conference on Advanced Data Mining and Applications, Brisbane, Australia, 2022.
@inproceedings{deseure-charron_1935,
title = {Clustering Method for Touristic Photographic Spots Recommendation},
author = {Flavien Deseure-Charron and Sonia Djebali and Guillaume Guérard},
url = {https://link.springer.com/chapter/10.1007/978-3-031-22137-8_17},
year = {2022},
date = {2022-11-01},
booktitle = {18th International Conference on Advanced Data Mining and Applications},
address = {Brisbane, Australia},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Lucas Bichet; Sofiane Ben Amor
Survey on Javascript Engines Fuzzers Proceedings Article
Dans: Springer, (Ed.): The 6th International Symposium on Cyber Security, Cryptology and Machine Learning, Springer, Virtual Event, 2022.
@inproceedings{guerard_1861,
title = {Survey on Javascript Engines Fuzzers},
author = {Guillaume Guérard and Lucas Bichet and Sofiane Ben Amor},
editor = {Springer},
url = {https://link.springer.com/book/10.1007/978-3-031-07689-3},
year = {2022},
date = {2022-07-01},
booktitle = {The 6th International Symposium on Cyber Security, Cryptology and Machine Learning},
publisher = {Springer},
address = {Virtual Event},
abstract = {The security of Web users is becoming a major issue today. Thus, Web browsers and more particularly the JavaScript engines that compose them are studied carefully to detect and promptly correct the vulnerabilities that they embed. This article presents the current state of research on vulnerabilities affecting JavaScript engines, starting from the current research context to the research tools used.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Guillaume Guérard; Loup-Noé Levy; Sofiane Ben Amor
Recommendation system infrastructure for the energy efficiency of buildings Proceedings Article
Dans: ECMLPKDD 2022, Grenoble, France, 2022.
@inproceedings{guerard_1933,
title = {Recommendation system infrastructure for the energy efficiency of buildings},
author = {Guillaume Guérard and Loup-Noé Levy and Sofiane Ben Amor},
url = {https://2022.ecmlpkdd.org/index.html},
year = {2022},
date = {2022-07-01},
booktitle = {ECMLPKDD 2022},
address = {Grenoble, France},
abstract = {Reducing building energy consumption is an important challenge of the XXI century.
Such a challenge can be addressed by an energy actor, the Trusted Third Party for Energy Measurement and Performance, by identifying consumption profiles, making diagnostics, proposing energy performance enhancement and evaluating the energy savings resulting from these changes.
A thesis was funded by such an actor to study and solve these issues.
To accomplish this, the first step is recognising the energy actors as complex sociotechnical systems and identifying the appropriate modeling approach.
In this article a detailed data infrastructure adapted to the big data challenges raised by the transformation of today's energy sectors is then proposed.
It is designed to address governance guidelines through DevOps methodology.
Finally the results of a hierarchical clustering algorithm based on pretopology are briefly presented along with future works.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Ihab Taleb; Frédéric Fauberteau; Nga Nguyen
Modélisation Multi-Agent pour les Réseaux Energétique Insulaires Proceedings Article
Dans: Journées Francophones sur les Systèmes Multi-Agents, Saint-Etienne, France, 2022.
@inproceedings{guerard_1831,
title = {Modélisation Multi-Agent pour les Réseaux Energétique Insulaires},
author = {Guillaume Guérard and Ihab Taleb and Frédéric Fauberteau and Nga Nguyen},
url = {https://ci.mines-stetienne.fr/pfia2022/conferences/jfsma/},
year = {2022},
date = {2022-06-01},
booktitle = {Journées Francophones sur les Systèmes Multi-Agents},
address = {Saint-Etienne, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali; Quentin Gabot
Tourists Profiling by Interest Analysis Proceedings Article
Dans: International Conference on Advanced Data Mining and Applications, p. 42-53, Springer, Cham, Virtual, 2022, ISBN: 978-3-030-95407-9.
@inproceedings{guerard_1662,
title = {Tourists Profiling by Interest Analysis},
author = {Guillaume Guérard and Sonia Djebali and Quentin Gabot},
url = {https://link.springer.com/chapter/10.1007/978-3-030-95408-6_4},
issn = {978-3-030-95407-9},
year = {2022},
date = {2022-01-01},
booktitle = {International Conference on Advanced Data Mining and Applications},
volume = {13088},
pages = {42-53},
publisher = {Springer, Cham},
address = {Virtual},
abstract = {With the recent digital revolution, analyzing of tourists' behaviors
and research elds associated with it have changed profoundly.
It is now easier to examine behaviors of tourists using digital traces they
leave during their travels. The studies conducted on diverse aspects of
tourism focus on quantitative aspects of digital traces to reach its conclusions.
In this paper, we suggest a study focused on both qualitative and
quantitative aspect of digital traces to understand the dynamics governing
tourist behavior, especially those concerning attractions networks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Jérémy Donadio; Guillaume Guérard; Sofiane Ben Amor
Collection of the Main Anti-Virus Detection and Bypass Techniques Proceedings Article
Dans: Springer, (Ed.): Network and System Security. NSS 2021, p. 222-237, Online, 2022.
@inproceedings{donadio_3414,
title = {Collection of the Main Anti-Virus Detection and Bypass Techniques},
author = {Jérémy Donadio and Guillaume Guérard and Sofiane Ben Amor},
editor = {Springer},
year = {2022},
date = {2022-01-01},
booktitle = {Network and System Security. NSS 2021},
volume = {13041},
pages = {222-237},
address = {Online},
edition = {Lecture Notes in Computer Science},
abstract = {A large amount a new threats, technologies and business
models have emerged in the cybersecurity area through the COVID-19
pandemic. The remote work involved unplanned cloud migrations and
swift procurement of IT products and services the remote landscape. In
this context, the role of anti-viruses is crucial for the private life and work.
In this paper, we study the workings of anti-viruses as to understand how
to avoid them. We created a collection of the main bypass techniques
whilst analyzing their respective advantages and drawbacks. We show
that it is possible to avoid both static and emulation analyses, while
enunciating the techniques and approaches being used.},
note = {October 23, 2021,},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Loup-Noé Levy; Sofiane Ben Amor; Hai Tran; Jérémie Bosom
Modeling and recommendation system for improving the energy performance of buildings Proceedings Article
Dans: Inoue, Masataka (Ed.): DCAI 2021: Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference, p. 206-209, Springer, Cham, virtual, 2021, ISBN: 978-3-030-86886-4.
@inproceedings{guerard_1603,
title = {Modeling and recommendation system for improving the energy performance of buildings},
author = {Guillaume Guérard and Loup-Noé Levy and Sofiane Ben Amor and Hai Tran and Jérémie Bosom},
editor = {Masataka Inoue},
url = {https://link.springer.com/chapter/10.1007/978-3-030-86887-1_22},
issn = {978-3-030-86886-4},
year = {2021},
date = {2021-10-01},
booktitle = {DCAI 2021: Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference},
pages = {206-209},
publisher = {Springer, Cham},
address = {virtual},
abstract = {The energy performance of building represents a major issue of the 21st century.
However, buildings are complex sociotechnical systems because of the massification, heterogeneity and multiplicity of related data.
Therefore, evaluating their performance and giving relevant recommendation is a challenging task.
In this article, we propose a contributory algorithmic recommendation system applicable to energy performance diagnostic and prediction.
Doing so requires to overcome many theoretical and technical issues related to big data infrastructure, machine learning factory, and DevOps.
The thesis is done through Energisme's platform.
It presents a collection and deployment of algorithmic solutions for optimized energy management in private and public organizations.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali; Bi Chongke; Theo Demessance
Hidden Markov Model to Predict Tourists Visited Places Proceedings Article
Dans: Nick Koudas Vana Kalogeraki, Jianliang Xu (Ed.): 22nd IEEE International Conference on Mobile Data Management, p. 209-216, IEEE, virtual, 2021, ISBN: 978-1-6654-2845-3.
@inproceedings{guerard_1601,
title = {Hidden Markov Model to Predict Tourists Visited Places},
author = {Guillaume Guérard and Sonia Djebali and Bi Chongke and Theo Demessance},
editor = {Vana Kalogeraki, Nick Koudas, Jianliang Xu},
url = {https://ieeexplore.ieee.org/abstract/document/9474900},
issn = {978-1-6654-2845-3},
year = {2021},
date = {2021-06-01},
booktitle = {22nd IEEE International Conference on Mobile Data Management},
pages = {209-216},
publisher = {IEEE},
address = {virtual},
abstract = {Nowadays, social networks is become a popular means of analyzing tourist behavior, thanks to the digital traces left by travelers during their stays on these networks.
The massive amount of data generated by the propensity of tourists to share comments and photos during their trip makes it possible to model their journeys and analyze their behavior.
Predicting the next movement of tourist plays a key role in tourism marketing to understand demand and improve decision support.
In this paper, we propose a method to understand and to learn tourists' movements based on social network data analysis to predict the future movements. The method relies on a machine learning grammatical inference algorithm.
A major contribution in this paper is to adapt the grammatical inference algorithm to the context of big data.
Our method produces a hidden Markov model representing the movements of a group of tourists. The hidden Markov model is flexible and editable with new data.
The capital city of France, Paris is selected to demonstrate the efficiency of the proposed methodology.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Guillaume Guérard; Laureen Deman; Quentin Boucher; Cedric Clastres
Bidding strategy of a seasonal storage and pump storage hydropower plants in reserve markets Proceedings Article
Dans: International Association for Energy Economics, virtual, 2021.
@inproceedings{djebali_1602,
title = {Bidding strategy of a seasonal storage and pump storage hydropower plants in reserve markets},
author = {Sonia Djebali and Guillaume Guérard and Laureen Deman and Quentin Boucher and Cedric Clastres},
url = {https://iaee2021online.org/download/contribution/fullpaper/1380/1380_fullpaper_20210614_063233.pdf},
year = {2021},
date = {2021-06-01},
booktitle = {International Association for Energy Economics},
address = {virtual},
abstract = {The increasing share of intermittent sources of energy will increase the need for frequency-control reserves. However, the current supply of reserves might decrease in the following years. The share of gas- and coal-fuel plants in the power mix is expected to decline in order to reduce greenhouse gas emissions. Hydropower technologies are often put forward as mature and low-carbon technologies able to contribute to cover this increasing need for reserves. Their flexibility and storage capability allow them to support the stable operation of the grid. The procurement of reserves being mostly market-based in Europe, the market design should send the correct price signals to encourage the participation in these markets.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Tourism Management through the Big Data Paradigm Proceedings Article
Dans: David Chavalarias, Hocine Cherifi (Ed.): French Regional Conference on Complex Systems FRCCS, Springer - Applied Network Science Journal, virtual, 2021.
@inproceedings{guerard_1600,
title = {Tourism Management through the Big Data Paradigm},
author = {Guillaume Guérard and Sonia Djebali},
editor = {David Chavalarias, Hocine Cherifi},
url = {https://easychair.org/smart-program/FRCCS2021/},
year = {2021},
date = {2021-05-01},
booktitle = {French Regional Conference on Complex Systems FRCCS},
publisher = {Springer - Applied Network Science Journal},
address = {virtual},
abstract = {This paper highlights the two-ways relationship between data and entities producing or generating these data in the context of tourism management. Indeed, tourists leave various traces of their planning and trip on social media and networks. Moreover, studying those data to feed tourism marketing also affects the future data left by tourists. Understanding the intrinsic and extrinsic relationship between entities should significantly improve the knowledge in this research field.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Loup-Noé Levy; Jérémie Bosom; Guillaume Guérard; Sofiane Ben Amor; Marc Bui
Application of Pretopological Hierarchical Clustering for Buildings Portfolio Proceedings Article
Dans: Cornel Klein, Matthias Jarke; Helfert, Markus (Ed.): Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS, p. 228-235, SciTePress, virtual, 2021, ISBN: 978-989-758-512-8.
@inproceedings{levy_1501,
title = {Application of Pretopological Hierarchical Clustering for Buildings Portfolio},
author = {Loup-Noé Levy and Jérémie Bosom and Guillaume Guérard and Sofiane Ben Amor and Marc Bui},
editor = {Cornel Klein, Matthias Jarke and Markus Helfert},
url = {https://www.scitepress.org/Link.aspx?doi=10.5220/0010485802280235},
issn = {978-989-758-512-8},
year = {2021},
date = {2021-04-01},
booktitle = {Proceedings of the 10th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
pages = {228-235},
publisher = {SciTePress},
address = {virtual},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Hugo Pousseur; Manon Rivoire
Inférence Grammaticale pour la Prévision de la Consommation Energétique Proceedings Article
Dans: Plateforme d'Intelligence Artificielle, Angers, France, 2020.
@inproceedings{guerard_1271,
title = {Inférence Grammaticale pour la Prévision de la Consommation Energétique},
author = {Guillaume Guérard and Hugo Pousseur and Manon Rivoire},
url = {http://pfia2020.fr/conferences/apia/programme-apia-2020/#sessionAPIA1},
year = {2020},
date = {2020-06-01},
booktitle = {Plateforme d'Intelligence Artificielle},
address = {Angers, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sonia Djebali; Guillaume Guérard
Prédiction des comportements touristiques par minage des motifs et des règles séquentielles Proceedings Article
Dans: 21ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Montpellier, France, 2020.
@inproceedings{djebali_1226,
title = {Prédiction des comportements touristiques par minage des motifs et des règles séquentielles},
author = {Sonia Djebali and Guillaume Guérard},
url = {https://roadef2020.sciencesconf.org/},
year = {2020},
date = {2020-02-01},
booktitle = {21ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision},
address = {Montpellier, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sofiane Ben Amor; Guillaume Guérard; Loup-Noé Levy
Systemic approach for modeling a generic Smart Grid Proceedings Article
Dans: Proceedings of the Tenth International Symposium on Information and Communication Technology, SoICT 2018, Hanoi, Vietnam, 2019.
@inproceedings{ben_amor_1019,
title = {Systemic approach for modeling a generic Smart Grid},
author = {Sofiane Ben Amor and Guillaume Guérard and Loup-Noé Levy},
url = {https://soict.org/program.html},
year = {2019},
date = {2019-12-01},
booktitle = {Proceedings of the Tenth International Symposium on Information and Communication Technology, SoICT 2018},
address = {Hanoi, Vietnam},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Lillia Ben Baccar; Sonia Djebali; Guillaume Guérard
Tourist's Tour Prediction by Sequential Data Mining Approach Proceedings Article
Dans: Advanced Data Mining and Applications, 15th International Conference, ADMA 2019, p. pp. 681-695, Dalian, China, 2019, ISBN: ISBN 978-3-030-35230-1.
@inproceedings{ben_baccar_989,
title = {Tourist's Tour Prediction by Sequential Data Mining Approach},
author = {Lillia Ben Baccar and Sonia Djebali and Guillaume Guérard},
url = {https://link.springer.com/chapter/10.1007/978-3-030-35231-8_50},
issn = {ISBN 978-3-030-35230-1},
year = {2019},
date = {2019-11-01},
booktitle = {Advanced Data Mining and Applications, 15th International Conference, ADMA 2019},
pages = {pp. 681-695},
address = {Dalian, China},
abstract = {This paper answers the problem of predicting future behaviour tourist based on past behaviour of an individual tourist. The individual behaviour is naturally an indicator of the behaviour of other tourists. The prediction of tourists movement has a crucial role in tourism marketing to create demand and assist tourists in decision-making. With advances in information and communication technology, social media platforms generate data from millions of people from different countries during their travel. The main objective of this paper is to consider sequential data-mining methods to predict tourist movement based on Instagram data. Rules emerge from those ones are exploited to predict future behaviors. The originality of this approach is a combination between pattern mining to reduce the size of data and the automata to condense the rules. The capital city of France, Paris is selected to demonstrate the utility of the proposed methodology.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Hugo Pousseur
JADE modeling for generic microgrids Proceedings Article
Dans: Agents and Multi-agent Systems: Technologies and Applications 2019, p. pp 377-386, Saint Julians, Malta, 2019, ISBN: ISBN 978-981-13-8678-7.
@inproceedings{guerard_761,
title = {JADE modeling for generic microgrids},
author = {Guillaume Guérard and Hugo Pousseur},
url = {https://link.springer.com/chapter/10.1007/978-981-13-8679-4_31},
issn = {ISBN 978-981-13-8678-7},
year = {2019},
date = {2019-06-01},
booktitle = {Agents and Multi-agent Systems: Technologies and Applications 2019},
volume = {148},
pages = {pp 377-386},
address = {Saint Julians, Malta},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Loup-Noé Levy; Hugo Pousseur
Multi-agent Model for Domotics and Smart Houses Proceedings Article
Dans: Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems, p. 223-230, Funcha, Madère, Portugal, 2018, ISBN: ISBN: 978-989-758-292-9.
@inproceedings{guerard_501,
title = {Multi-agent Model for Domotics and Smart Houses},
author = {Guillaume Guérard and Loup-Noé Levy and Hugo Pousseur},
url = {http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006757202230230},
issn = {ISBN: 978-989-758-292-9},
year = {2018},
date = {2018-03-01},
booktitle = {Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems},
volume = {volume 1},
pages = {223-230},
address = {Funcha, Madère, Portugal},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Bastien Pichon; Zeinab Nehai
Demand-Response: let the devices take our decisions Proceedings Article
Dans: Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems, p. 119-126, Porto, Portugal, 2017, ISBN: ISBN: 978-989-758-241-7.
@inproceedings{guerard_273,
title = {Demand-Response: let the devices take our decisions},
author = {Guillaume Guérard and Bastien Pichon and Zeinab Nehai},
url = {https://www.scitepress.org/PublicationsDetail.aspx?ID=7SRP5KmIThY=&t=1},
issn = {ISBN: 978-989-758-241-7},
year = {2017},
date = {2017-04-01},
booktitle = {Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems},
volume = {volume 1},
pages = {119-126},
address = {Porto, Portugal},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sonia Djebali
Rendre 'intelligent' le Smart Grid Proceedings Article
Dans: 18ème conférence annuelle de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Metz, France, 2017.
@inproceedings{guerard_272,
title = {Rendre 'intelligent' le Smart Grid},
author = {Guillaume Guérard and Sonia Djebali},
url = {http://roadef2017.event.univ-lorraine.fr/index.html},
year = {2017},
date = {2017-02-01},
booktitle = {18ème conférence annuelle de la Société Française de Recherche Opérationnelle et d'Aide à la Décision},
address = {Metz, France},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sofiane Ben Amor; Alain Bui
A context-free smart grid model using pretopologic structure Proceedings Article
Dans: 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS), p. 1-7, IEEE, Lisbonne, Portugal, 2015, ISBN: 978-9-8975-8134-2.
@inproceedings{guerard_1607,
title = {A context-free smart grid model using pretopologic structure},
author = {Guillaume Guérard and Sofiane Ben Amor and Alain Bui},
url = {https://ieeexplore.ieee.org/abstract/document/7298002},
issn = {978-9-8975-8134-2},
year = {2015},
date = {2015-05-01},
booktitle = {2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)},
pages = {1-7},
publisher = {IEEE},
address = {Lisbonne, Portugal},
abstract = {The Power grid evolves, but its structure presents several gaps with the new numerical technologies, renewable energies and electric vehicles. The literature introduces the concept of Smart Grid, a system which takes into account the behaviour and the action of its agents. Studying the smart grid through modelling and simulation provides us with valuable results which cannot be obtained in the real world due to time and cost related constraints. Nevertheless, due to the complexity of the smart grid, achieving global optimization is not an easy task. In this paper, we propose a complex system approach to the smart grid modelling, accentuating on the representation of the structure. Thanks to this combination, the optimization can be achieved on a dynamic graph taking into account changes and network errors over time, with the ability to detect them.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Sofiane Ben Amor; Alain Bui; Guillaume Guérard
A Context-Free Smart Grid Model Using Complex System Approach Proceedings Article
Dans: IEEE/ACM, (Ed.): IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, p. 147-154, Toulouse, France, 2014, ISBN: 978-1-4799-6144-3.
@inproceedings{ben_amor_1610,
title = {A Context-Free Smart Grid Model Using Complex System Approach},
author = {Sofiane Ben Amor and Alain Bui and Guillaume Guérard},
editor = {IEEE/ACM},
url = {https://ieeexplore.ieee.org/abstract/document/6957187},
issn = {978-1-4799-6144-3},
year = {2014},
date = {2014-10-01},
booktitle = {IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications},
pages = {147-154},
address = {Toulouse, France},
abstract = {Energy and pollution are urging problems of the 21th century. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives will not change such as optimizing production, transmission, and consumption. Studying the smart grid through modeling and simulation provides us with valuable results which cannot be obtained in real world due to time and cost related constraints. Moreover, due to the complexity of the smart grid, achieving global optimization is not an easy task. In this paper, we propose a complex system based approach to the smart grid modeling, accentuating on the optimization by combining game theoretical and classical methods in different levels. Thanks to this combination, the optimization can be achieved with flexibility and scalability, while keeping its generality},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Ider Tseveendorj
Largest Inscribed Ball and Minimal Enclosing Box for Convex Maximization Problems Proceedings Article
Dans: Leocadio G. Casado, Eligius M. T. Hendrix; Garcia, Inmaculada (Ed.): Global Optimization Workshop, p. 61-64, Malaga, Espagne, 2014, ISBN: 978-84-16027-57-6.
@inproceedings{guerard_1611,
title = {Largest Inscribed Ball and Minimal Enclosing Box for Convex Maximization Problems},
author = {Guillaume Guérard and Ider Tseveendorj},
editor = {Leocadio G. Casado, Eligius M.T. Hendrix and Inmaculada Garcia},
url = {https://www.researchgate.net/profile/Guillaume-Guerard/publication/267643443_Largest_Inscribed_Ball_and_Minimal_Enclosing_Box_for_Convex_Maximization_Problems/links/5457671d0cf2bccc490f8373/Largest-Inscribed-Ball-and-Minimal-Enclosing-Box-for-Convex-Maximization-Problems.pdf#page=70},
issn = {978-84-16027-57-6},
year = {2014},
date = {2014-09-01},
booktitle = {Global Optimization Workshop},
pages = {61-64},
address = {Malaga, Espagne},
abstract = {Many important classes of decision models give rise to the problem of finding a global minimum of
a concave function over a convex set. Since such a function may have many local minima, finding
the global minimum is a computationally difficult problem, where standard nonlinear programming
procedures fail. The two proposed methods are simple and quick, using the largest inscribed ball
and the minimal enclosing box as approximation for cutting-plane method.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Guillaume Guérard; Sofiane Ben Amor
Méthode d'Analyse d'un Système Complexe pour la Recherche Opérationnelle : Smart Grid Proceedings Article
Dans: Recherche opérationnelle et aide à la décision en France, Troyes, France, 2013.
@inproceedings{guerard_1612,
title = {Méthode d'Analyse d'un Système Complexe pour la Recherche Opérationnelle : Smart Grid},
author = {Guillaume Guérard and Sofiane Ben Amor},
url = {http://roadef2013.utt.fr/roadef_ebook2.pdf},
year = {2013},
date = {2013-02-01},
booktitle = {Recherche opérationnelle et aide à la décision en France},
address = {Troyes, France},
abstract = {L'objectif de ce papier est de fournir une méthode d'analyse et de décomposition d'un système complexe dans l'optique d'optimiser le système global. L'utilisation de la recherche opérationnelle dans un réseau complexe nécessite une méthode précise. Afin de démontrer la pertinence
de cette méthode, nous proposons une modélisation d'un Smart Grid fiable et efficace, c'est-à-dire un réseau de distribution électrique bidirectionnel et non centralisé.
Le réseau électrique est poussé dans ses limites, et la venue de nouvelles technologies telles que les énergies renouvelables ou la production décentralisée mettent en péril la structure. Le Smart Grid n'a pas pour objectif de remplacer le réseau électrique actuel, mais de l'améliorer.
Afin de garantir une modélisation efficace et une optimisation rapide du Smart Grid, nous devons les étudier de manière systémique afin d'en extraire les caractéristiques principales et le comportement des différents éléments composant le système global interne et les relations
externes.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
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