Guillaume Guérard

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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 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}

}

@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}

}

@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}

}