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Gilles Guerassimoff

Professor

Center · CMA

Keywords

Team

Données et apprentissage automatique

Biography

Gilles Guerassimoff is a researcher specializing in energy systems and their optimization, with significant expertise in the fields of smart energy management, isolated power grids, and industrial refrigeration technologies. His work focuses in particular on the integration of renewable energy, the modeling of microgrids, and the analysis of how variations in generation affect the stability of electrical systems. He has contributed to the development of innovative methods, such as the use of deep reinforcement learning for the real-time optimization of multi-energy systems, as well as data-driven approaches for detecting refrigerant leaks in industrial facilities. His research also extends to energy cost assessment, carbon emissions reduction, and the prospective analysis of heat recovery technologies—such as heat pumps—in non-energy-intensive industries. His approach combines technical modeling, dynamic simulation, and experimental validation, with the aim of proposing operational solutions for an efficient and resilient energy transition.

Publication(s)

  • 2025
    Evaluating fault detection techniques for refrigerant leak detection in industrial vapor compression refrigeration systems DOI : 10.1109/ICCAD64771.2025.11099443
  • 2024
    Refrigerant leak detection in industrial vapor compression refrigeration systems using machine learning; [Détection de fuite de liquide frigorigène dans les installations frigorifiques industrielles à compresseurs de vapeur utilisant l'apprentissage automatique] DOI : 10.1016/j.ijrefrig.2024.02.016
  • 2024
    Optimal energy management in smart energy systems: A deep reinforcement learning approach and a digital twin case-study DOI : 10.1016/j.segy.2024.100163
  • 2023
    Allocation of Spinning Reserves in Autonomous Grids Considering Frequency Stability Constraints and Short-Term Solar Power Variations DOI : 10.1109/ACCESS.2023.3261805
  • 2022
    An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints DOI : 10.1016/j.rser.2021.111955
  • 2022
    Deep Reinforcement Learning for Optimal Energy Management of Multi-energy Smart Grids DOI : 10.1007/978-3-030-95470-3_2
  • 2021
    On the relationship between battery power capacity sizing and solar variability scenarios for industrial off-grid power plants DOI : 10.1016/j.apenergy.2021.117553
  • 2021
    Under pressure! Nudging electricity consumption within firms. Feedback from a field experiment DOI : 10.5547/01956574.42.1.CCHA
  • 2019
    IMPACTS OF THERMAL GENERATION FLEXIBILITY ON POWER QUALITY AND LCOE OF INDUSTRIAL OFF-GRID POWER PLANTS DOI : 10.46855/energy-proceedings-2349
  • 2016
    Analysis of the importance of structural change in non-energy intensive industry for prospective modelling: The French case DOI : 10.1016/j.enpol.2015.11.014
  • 2015
    Heat recovery using heat pumps in non-energy intensive industry: Are Energy Saving Certificates a solution for the food and drink industry in France? DOI : 10.1016/j.apenergy.2015.07.048
  • 2015
    Enhancing energy efficiency and technical and marketing tools to change people's habits in the long-term DOI : 10.1016/j.enbuild.2015.06.080
  • 2013
    Sub-national TIMES model for analyzing future regional use of biomass and biofuels in Sweden and France DOI : 10.1016/j.renene.2013.05.015
  • 2013
    Heat recovery with heat pumps in non-energy intensive industry: A detailed bottom-up model analysis in the French food & drink industry DOI : 10.1016/j.apenergy.2013.05.035
  • 2011
    Industrial heat recovery and Heat Pumps systems
  • 2009
    Desperately seeking energy efficiency... using information and communication technologies? DOI : 10.1109/PSCE.2009.4839998
  • 2006
    Key features of the electricity production sector through long-term planning: The French case DOI : 10.1109/PSCE.2006.296185
  • 2004
    The MARKAL family of energy planning models: A supplement to modelling exercises in the French context; [La famille MARKAL de modèles de planification énergé tique: Un complément aux exercices de modélisation dans le contexte français]
  • 2001
    Stability study of a pressure regulator by modelling and experimental design; [Etude de stabilite d'un detendeur regulateur modelisation et plan d'experiences]

PhD supervision

  • 2022 Refrigerant leak detection in industrial vapor-compressor refrigeration systems MTIBAA Amal
  • 2020 Development of a methodology to generate aggregated energy models for managing residential consumption flexibility NGUYEN Quynh Mai
  • 2019 Behavioral approach to managing energy consumption in buildings AKKOUCHE Nour El Houda Rabab
  • 2019 Integration of solar irradiance variability into simulation and sizing methods for industrial microgrids POLLEUX Louis
  • 2019 Deep Reinforcement Learning for Optimal Energy Management in Multi-Energy Intelligent Systems BOUSNINA Dhekra
  • 2019 Integration of occupants in the management of tertiary buildings: towards adaptive control balancing comfort and energy optimization UMAÑA LOPEZ Cindy Alejandra
  • 2016 Modeling household electricity consumption dynamics in relation to different exogenous variables PUPIER Elise