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  Yacine Alimou. A multi-scale modeling framework to build long-term optimal and secure investments trajectories for power systems in transition. Optimization and Control [math.OC]. Université Paris sciences et lettres, 2024. English. ⟨NNT : 2024UPSLM026⟩. ⟨tel-04886358⟩
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  Daniel Mimouni, Paul Malisani, Jiamin Zhu, Welington de Oliveira. Scenario Tree Reduction via Wasserstein Barycenters. Annals of Operations Research, In press. ⟨hal-04789253⟩
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  Nadia Maïzi, Edi Assoumou, Ariane Millot. Retrospective of Prospective Exercises: A Chronicle of Long-Term Modelling and Energy Policymaking in France. in: Labriet, M., Espegren, K., Giannakidis, G., Ó Gallachóir, B. (eds). Aligning the Energy Transition with the Sustainable Development Goals, 101, Springer Nature Switzerland, pp.375-391, 2024, Lecture Notes in Energy, ⟨10.1007/978-3-031-58897-6_16⟩. ⟨hal-04785125⟩
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  Daniel Mimouni, P Malisani, J. Zhu, W. de Oliveira. Computing Wasserstein Barycenter via operator splitting: the method of averaged marginals. 2023. ⟨hal-04160009v6⟩
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  Sofia Simoes, Filipa Amorim, Gildas Siggini, Valentina Sessa, Yves-Marie Saint-Drenan, et al.. Climate proofing the renewable electricity deployment in Europe - Introducing climate variability in large energy systems models. Energy Strategy Reviews, 2021, 35, pp.100657. ⟨10.1016/j.esr.2021.100657⟩. ⟨hal-03279783⟩
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  Elisa Ndiaye, Antoine Bezat, Emmanuel Gobet, Céline Guivarch, Ying Jiao. Optimal business model adaptation plan for a company under a transition scenario. 2024. ⟨hal-04682824⟩
• 
  Amirhossein Tavakoli, Sophie Demassey, Valentina Sessa. Deep Learning for Pump Scheduling. ROADEF 2024, Mar 2024, Amiens, France. ⟨hal-04639702⟩
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  Amal Mtibaa. Refrigerant leak detection in industrial vapor compression refrigeration systems using machine learning. Doctoral workshop AI for The Sciences, May 2024, Paris, France. ⟨hal-04639612⟩
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  Amal Mtibaa, Valentina Sessa, Gilles Guerassimoff, Stéphane Alajarin. Refrigerant leak detection in industrial vapor compression refrigeration systems using machine learning. International Journal of Refrigeration, 2024, 161, pp.51 - 61. ⟨10.1016/j.ijrefrig.2024.02.016⟩. ⟨hal-04633258⟩
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  Nour El Houda Rabab Akkouche. Approche comportementale pour le pilotage des consommations énergétiques dans le bâtiment. Ecologie, Environnement. Université Paris sciences et lettres, 2023. Français. ⟨NNT : 2023UPSLM081⟩. ⟨tel-04614714⟩
• 
  Margaux Zaffran, Julie Josse, Yaniv Romano, Aymeric Dieuleveut. Predictive Uncertainty Quantification with Missing Covariates. 2024. ⟨hal-04587674⟩
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  Béatrice Morel, Michel Benne, Vincent Bertrand, Ylenia Curci, Cédric Damour, et al.. PHAeTON - Prévision du Potentiel solaire et éolien à Haute résolution spAtiale et Temporelle pour le dimensionnement et la gestion de micro-réseaux autONomes avec stockage hydrogène (AAPG2021 de l'ANR - préproposition soumise, non retenue). 2020. ⟨hal-04565410⟩
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  Joaquim Júdice, Valentina Sessa, Masao Fukushima. A two-phase sequential algorithm for global optimization of the standard quadratic programming problem. 2024. ⟨hal-04560413⟩
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  Dhekra Bousnina. Deep Reinforcement Learning for Optimal Energy Management in Smart Multi-Energy Systems. Electric power. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM064⟩. ⟨tel-04558019⟩
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  Quynh Mai Nguyen. Development of a methodology for generating aggregated energy models to control the flexibility of the residential consumptionDéveloppement d'une méthodologie pour générer des modèles énergétiques agrégés pour piloter la flexibilité de la consommation résidentielle. Optimization and Control [math.OC]. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM063⟩. ⟨tel-04549272⟩
• 
  Lucas Desport. Implementation of Carbon Capture Utilization and Storage in global socio-techno-economic models : long-term optimization of the energy system and industry decarbonization. Optimization and Control [math.OC]. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM058⟩. ⟨tel-04546774⟩
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  Amirhossein Tavakoli. Hybrid combinatorial optimization and machine learning algorithms for energy efficient water networks. Optimization and Control [math.OC]. Université Côte d'Azur, 2023. English. ⟨NNT : 2023COAZ4121⟩. ⟨tel-04511471v2⟩
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  Carlos Andrade, Sandrine Selosse. Circular Economy for the Energy System as a Leverage for Low-Carbon Transition: Long-Term Analysis of the Case of the South-East Region of France. Energies, 2024, 17 (6), pp.1407. ⟨10.3390/en17061407⟩. ⟨hal-04506178⟩
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  Sophie Demassey, Valentina Sessa, Amirhossein Tavakoli. Alternating direction method and deep learning for discrete control with storage. Combinatorial Optimization, 14594, Springer Nature Switzerland, pp.85-96, 2024, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-60924-4_7⟩. ⟨hal-04506597⟩
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  Carlos Andrade, Lucas Desport, Sandrine Selosse. Net-negative emission opportunities for the iron and steel industry on a global scale. Applied Energy, 2024, 358, pp.122566. ⟨10.1016/j.apenergy.2023.122566⟩. ⟨hal-04411124⟩

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