Guillaume Guérard

@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://www.dcai-conference.net/programme},

year  = {2021},

date = {2021-10-01},

booktitle = {International Conference on Distributed Computing and Artificial Intelligence},

publisher = {MDPI},

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 = {accepted},

tppubtype = {inproceedings}

}

@inproceedings{guerard_1662,

title = {Tourists Profiling by Interest Analysis},

author = {Guillaume Guérard and Sonia Djebali},

url = {Not yet},

year  = {2021},

date = {2021-09-01},

booktitle = {International Conference on Advanced Data Mining and Applications},

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 = {accepted},

tppubtype = {inproceedings}

}

@inproceedings{guerard_1601,

title = {Hidden Markov Model to Predict Tourists Visited Places},

author = {Guillaume Guérard and Sonia Djebali},

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}

}

@inproceedings{djebali_1602,

title = {BIDDING STRATEGY OF A SEASONAL STORAGE HYDROPOWER PLANT IN RESERVE MARKETS},

author = {Sonia Djebali and Guillaume Guérard},

url = {http://devel.iaee.org/proceedings/article/17208},

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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@inproceedings{guerard_1607,

title = {A context-free smart grid model using pretopologic structure},

author = {Guillaume Guérard and Sofiane Ben Amor},

editor = {IEEE},

url = {https://ieeexplore.ieee.org/abstract/document/7298002},

issn = {978-9-8975-8134-2},

year  = {2015},

date = {2015-05-01},

booktitle = {International Conference on Smart Cities and Green ICT Systems},

pages = {1-7},

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}

}

@inproceedings{guerard_1610,

title = {A Context-Free Smart Grid Model Using Complex System Approach},

author = {Guillaume Guérard and Sofiane Ben Amor},

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},

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}

}

@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}

}

@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}

}

@inproceedings{guerard_1614,

title = {A Complex System Approach for Smart Grid Analysis and Modeling},

author = {Guillaume Guérard and Sofiane Ben Amor and Alain Bui},

url = {https://ebooks.iospress.nl/volumearticle/7258},

issn = {978-1-61499-104-5},

year  = {2012},

date = {2012-09-01},

booktitle = {Advances in Knowledge-Based and Intelligent Information and Engineering Systems},

number = {Frontiers in Artificial Intelligence and},

pages = {788 - 797},

publisher = {IOS Press},

address = {San Sebastian, Espagne},

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.



This term refers to an electrical network integrating the behavior and actions of users. It uses new information and communication technologies and new services combining: monitoring, control, communication and self-healing.



Current simulations are done on specific, preset 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 modeling. Smart Grids have many characteristics corresponding to complex systems. We propose to analyze these similarities to reach a better understanding and a holistic view of smart grid's concept.



The objective of this paper is to provide theoretical research themes that could help the design of a reliable and efficient Smart Grid.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{guerard_1613,

title = {Approche système complexe pour la modélisation des Smart Grids},

author = {Guillaume Guérard and Sofiane Ben Amor},

url = {roadef2012.ima.uco.fr/index.htm},

year  = {2012},

date = {2012-04-01},

booktitle = {Recherche opérationnelle et aide à la décision en France},

address = {Angers, France},

abstract = {L'objectif de ce papier est d'exposer des axes thématiques théoriques de recherche pour la conception d'un Smart Grid fiable et efficace, c'est-à-dire un réseau de distribution d'énergie électrique bidirectionnel non centralisé. Des nouvelles techniques et méthodes doivent rendre l'Energy Grid actuel plus flexible, accessible, fiable et économique. Certains appareils tels Linky sont déjà fonctionnels, mais la structure est poussée dans ses limites et n'est pas en mesure de supporter davantage de technologies analogiques ou numériques récentes.

Afin de garantir une modélisation efficace et une optimisation rapide de Smart Grids, nous devons les étudier de manière systémique afin d'en extraire les caractéristiques principales et le comportement des différents éléments composant le système global.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}