1 citations · 1 across the 4 of their papers we have counts for
4 papers
Probabilistic forecasting for sizing in the capacity firming framework
Jonathan Dumas, Bertrand Cornélusse, Xavier Fettweis +3
This paper proposes a strategy to size a grid-connected photovoltaic plant coupled with a battery energy storage device within the \textit{capacity firming} specifications of the F…
A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market: extended version
Jonathan Dumas, Colin Cointe, Antoine Wehenkel +3
This paper addresses the energy management of a grid-connected renewable generation plant coupled with a battery energy storage device in the capacity firming market, designed to p…
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning
Simone Totaro, Ioannis Boukas, Anders Jonsson +1
The lifelong control problem of an off-grid microgrid is composed of two tasks, namely estimation of the condition of the microgrid devices and operational planning accounting for…
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
Ioannis Boukas, Damien Ernst, Thibaut Théate +5
The large integration of variable energy resources is expected to shift a large part of the energy exchanges closer to real-time, where more accurate forecasts are available. In th…