20 citations
- Électricité de France (France)FR24 papers
- Laboratoire de Mathématiques d'OrsayFR4 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR4 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR4 papers
- Université de LilleFR4 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Université Paris-SaclayFR3 papers
- CEA Paris-Saclay - Etablissement de SaclayFR2 papers
- CELESTE: statistique mathématique et apprentissageFR2 papers
- Centre de Recherche en Économie et StatistiqueFR2 papers
- Centre de Recherche en InformatiqueFR2 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR2 papers
7 papers · 1 filter
Methods for Mitigating Uncertainty in Real-Time Operations of a Connected Microgrid
Subrat Prasad Panda, Blaise Genest, Arvind Easwaran +2
In this paper, we compare the effectiveness of a two-stage control strategy for the energy management system (EMS) of a grid-connected microgrid under uncertain solar irradiance an…
Automated Spatio-Temporal Weather Modeling for Load Forecasting
Julie Keisler, Margaux Bregere
Electricity is difficult to store, except at prohibitive cost, and therefore the balance between generation and load must be maintained at all times. Electricity is traditionally m…
Impact of Generative AI (Large Language Models) on the PRA model construction and maintenance, observations
Valentin Rychkov, Claudia Picoco, Emilie Caleca
The rapid development of Large Language Models (LLMs) and Generative Pre-Trained Transformers(GPTs) in the field of Generative Artificial Intelligence (AI) can significantly impact…
Modeling Common Cause Failure in Dynamic PRA
Claudia Picoco, Valentin Rychkov
In this paper we propose a dynamic model of Common Cause Failures (CCF) that allows to generate common cause events in time. The proposed model is a generalization of Binomial Fail…
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard +1
We explore online learning in episodic loop-free Markov decision processes on non-stationary environments (changing losses and probability transitions). Our focus is on the Concave…
Automated Deep Learning for Load Forecasting
Julie Keisler, Sandra Claudel, Gilles Cabriel +1
Accurate forecasting of electricity consumption is essential to ensure the performance and stability of the grid, especially as the use of renewable energy increases. Forecasting e…