Vous trouverez ci-après la liste avec PDF des drafts et code LaTeX bib des publications.
Tous les PDF sont des drafts du papier camera-ready !
Thématique Smart Grid
Collaboration
Soufian BEN AMOR (LI-PaRAD EA7432)
Marc BUI (EPHE-PSL UMR 8546)
NRLAB, Energy 4 Climate
H2020 MAESHA (Fin)
Chaire Energisme (Fin)
EPIT2.0 (Fin)
GARE Versailles (Fin)
V2G PSA (Fin)
Smart Grid : Optimization
2025. Surveys on Physical Based Methods for State of Charge, State of Health and Fault Detection on a Li-Ion Battery. PDF, BibTeX
2023. Bidding strategy of storage hydropower plants in reserve markets. Economics and Policy of Energy and the Environment. PDF, BibTeX
2021 Bidding Strategy of a Seasonal Storage Hydropower Plant in Reserve markets. In Energy, COVID, and Climate Change, 1st IAEE Online Conference, June 7-9, 2021. International Association for Energy Economics. PDF, BibTeX
2016 Inscribed ball and enclosing box methods for the convex maximization problem. Optimization Letters, 10, 417-432. PDF, BibTeX
2014. Largest inscribed ball and minimal enclosing box for convex maximization problems. In XII GLOBAL OPTIMIZATION WORKSHOP (pp. 61-64). PDF, BibTeX
2014 Optimisation de la diffusion de l’énergie dans les smarts-grids (Doctoral dissertation, Versailles-St Quentin en Yvelines). PDF, BibTeX
2013 Smart grid and optimization. In American Journal of Optimization Research. PDF, BibTeX
Smart Grid : Modélisation systémique
2023. Survey and insights on digital twins design and smart grid’s applications. Future Generation Computer Systems. PDF, BibTeX
2022. DevOps Model Appproach for Monitoring Smart Energy Systems. Energies, 15(15), 5516. PDF, BibTeX
2022. Recommendation system infrastructure for the energy efficiency of buildings. In ECMLPKDD2022 PhD Track. PDF, BibTeX
2022. Modeling and Recommendation System for Improving the Energy Performance of Buildings. In Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference 18 (pp. 206-209). Springer International Publishing. PDF, BibTeX
2019. Systemic Approach for Modeling a Generic Smart Grid. In Proceedings of the 10th International Symposium on Information and Communication Technology (pp. 15-22). PDF, BibTeX
2017. Integration of the blockchain in a smart grid model. In The 14th international conference of young scientists on energy issues (CYSENI) (Vol. 127). PDF, BibTeX
2017. Rendre ’intelligent’ le smart grid. In 18ème conference annuelle de la Societe Française de Recherche Operationnelle et d’Aide à la Decision. Metz, France. PDF, BibTeX
2017. Smart grid: From raw data to a digital model. In 14th International Conference of Young Scientists on Energy Issues. Kaunas, Latvia. PDF, BibTeX
2015. A context-free smart grid model using pretopologic structure. In 2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS) (pp. 1-7). IEEE. PDF, BibTeX
2014. A context-free smart grid model using complex system approach. In 2014 IEEE/ACM 18th International Symposium on Distributed Simulation and Real Time Applications (pp. 147-154). IEEE. PDF, BibTeX
2013. Méthode d’Analyse d’un Système Complexe pour la Recherche Opérationnelle: Smart Grid. Recherche Opérationnelle et Aide à la DEcision Française (ROADEF’13). PDF, BibTeX
2012. Survey on smart grid modelling. International Journal of Systems, Control and Communications, 4(4), 262-279. PDF, BibTeX
2012. A complex system approach for smart grid analysis and modeling. In Advances in Knowledge-Based and Intelligent Information and Engineering Systems (pp. 788-797). IOS Press. PDF, BibTeX
2012. Approche système complexe pour la modélisation des Smart Grids. In 13th Roadef Conference, Angers, France (pp. 263-264). PDF, BibTeX
Smart Grid : Systèmes multi-agents
2024. From simulation to digital twins of socio-economico-techical complex systems. The 8th International Conference on Technologies & Organization ICTO2024. PDF, BibTeX
2023. Holonic energy management systems: Towards flexible and resilient smart grids. In A. P. Rocha, L. Steels, and J. van den Herik, editors, Agents and Artificial Intelligence, pages 95–112. Springer Nature Switzerland, Cham. PDF, BibTeX
2023. A Holonic Multi-Agent Architecture For Smart Grids. In ICAART (1) (pp. 126-134). PDF, BibTeX
2022. A holonic multi-agent architecture for smart grids. In International Conference on Agents and Artificial Intelligence. SciTePress. PDF, BibTeX
2022. A holonic smart grid model for isolated areas. In ECMLPKDD2022 PhD Track. 2022. PDF, BibTeX
2022. Modélisation Multi-Agent pour les Réseaux Énergétiques Insulaires (démonstration). In JFSMA (pp. 137-140). PDF, BibTeX
2020. JADE Modeling for Generic Microgrids. In Agents and Multi-agent Systems: Technologies and Applications 2019: 13th KES International Conference, KES-AMSTA-2019 St. Julians, Malta, June 2019 Proceedings (pp. 377-386). Springer Singapore. PDF, BibTeX
2018. Multi-agent Model for Domotics and Smart Houses. In SMARTGREENS (pp. 223-230). PDF, BibTeX
Smart Grid : Data mining et machine learning
2023. Clustering Mixed Data Comprising Time Series. SOICT 2023. PDF, BibTex
2023. Pretopology-based clustering for mixed data. In Congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2023). PDF, BibTeX
2022. A Flexible Deep Learning Method for Energy Forecasting. Energies, 15(11), 3926. PDF, BibTeX
2021. Hierarchical Clustering of Complex Energy Systems Using Pretopology. In International Conference on Vehicle Technology and Intelligent Transport Systems (pp. 87-106). Cham: Springer International Publishing. PDF, BibTeX
2021. Application of Pretopological Hierarchical Clustering for Buildings Portfolio. In SMARTGREENS (pp. 228-235). PDF, BibTeX
2020. Inférence Grammaticale pour la Prévision de la Consommation Énergétique. In Conférence Nationale d’Intelligence Artificielle Année 2020 (p. 115). PDF, BibTeX
2020. Prédiction de la consommation par inférence grammaticale. ROADEF 2020. PDF, BibTeX
2017. Demand-Response: Let the Devices Take our Decisions. In SMARTGREENS (pp. 119-126). PDF, BibTeX
Smart Grid : AgriPV
2024. AgriVoltaics Acceptability’s Challenges. In AgriVoltaics Conference Proceedings. PDF, BibTeX
2024. AgriVoltaic System’s Digital Twin. In AgriVoltaics Conference Proceedings. PDF, BibTeX
Smart Grid : Acceptation sociale
2024. Increase social acceptability of nuclear fusion, agrivoltaics, and offshore wind through national support programmes. In Strengthening European Energy Policy: Governance Recommendations From Innovative Interdisciplinary Collaborations, pages 101–113. Springer Nature Switzerland Cham. PDF, BibTeX
Tourisme
Collaboration
Chaire Lille Métropole
Chaire Bordeaux Métropole
Tourisme : Modélisation systémique
2024. Tourism profile measure for data-driven tourism segmentation. International Journal of Machine Learning and Cybernetics, pages 1–26. PDF, BibTeX
2022. Hierarchical Clustering and Measure for Tourism Profiling. In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (pp. 158-165). Cham: Springer Nature Switzerland. PDF, BibTeX
2021. Tourism management through the big data paradigm. In H. C. David Chavalarias, editor, French Regional Conference on Complex Systems FRCCS. Springer – Applied Network Science Journal. PDF, BibTeX
Tourisme : Data mining et machine learning
2022. Clustering Method for Touristic Photographic Spots Recommendation. In International Conference on Advanced Data Mining and Applications (pp. 223-237). Cham: Springer Nature Switzerland. PDF, BibTeX
2022. Tourists Profiling by Interest Analysis. In International Conference on Advanced Data Mining and Applications (pp. 42-53). Cham: Springer International Publishing. PDF, BibTeX
2021. Hidden markov model to predict tourists visited places. In 2021 22nd IEEE International Conference on Mobile Data Management (MDM) (pp. 209-216). IEEE. PDF, BibTeX
2020. Prediction des comportements touristiques par minage des motifs et des règles sequentielles. In 21ème edition du congrès annuel de la Societe Française de Recherche Operationnelle et d’Aide à la Decision. Montpellier, France. PDF, BibTeX
2019. Tourist’s tour prediction by sequential data mining approach. In Advanced Data Mining and Applications: 15th International Conference, ADMA 2019, Dalian, China, November 21–23, 2019, Proceedings 15 (pp. 681-695). Springer International Publishing. PDF, BibTeX
2019 Prediction de circuit touristique par data mining sequentielle. In Premier Symposium GDR MaDICS. Rennes, France. PDF,BibTeX
Cybersécurité
Collaboration
Soufian BEN AMOR (LI-PaRAD EA7432)
SMSMode (Fin)
Elevate-labs (Fin)
2023. Survey on javascript engines fuzzers. In The International Symposium on Cyber Security, Cryptology and Machine Learning (CSCML). Online, 2023. PDF, BibTeX
2021. Collection of the Main Anti-Virus Detection and Bypass Techniques. In Network and System Security: 15th International Conference, NSS 2021, Tianjin, China, October 23, 2021, Proceedings 15 (pp. 222-237). Springer International Publishing. PDF, BibTeX
Santé - biotech
Collaboration
Anais AUGIAS et Philippe CHARLIER (LAAB UR 20202)
Soufian BEN AMOR (LI-PaRAD EA7432)
Nora Mezani ESEO
2024. Omics Challenges in Health and Biology. In ROADEF 2024. PDF, BibTeX
2021. USoM platform. Proposal for an international and transdisciplinary interactive tool for centralization and anthropological exchange around human remains. Ethics, Medicine and Public Health, 18, 100677. PDF, BibTeX
Méchanique - IA
Collaboration
Achraf KALLEL (IRT-SystemX)
Kheireddin KADRI (AptiSkills)
Department of Mining Engineering, Kazi Nazrul University, Asansol, India
IIoT, Maintenance Predictive
2024. Predictive modeling of ductile damage in composite materials for highpressure hydrogen storage using finite element and machine learning approaches. In Polymer Processing Society 40th Annual Meeting. Auckland New Zeeland. PDF, BibTeX
2024. Iot-enabled methane monitoring and lstm-based forecasting system for enhanced safety in underground coal mining. ACM Trans. Internet Things. PDF, BibTeX
2024. Study of composite polymer degradation for high pressure hydrogen vessel by machine learning approach. Energy Storage, 6(4):e645. PDF, BibTeX
2024. 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. Energy Technology, n/a(n/a):2401045. PDF, BibTeX