2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems
Marine Cauz, Adrien Bolland, Nicolas Wyrsch +1
The ongoing energy transition drives the development of decentralised renewable energy sources, which are heterogeneous and weather-dependent, complicating their integration into e…
math.OC2023
Reinforcement Learning for Joint Design and Control of Battery-PV Systems
Marine Cauz, Adrien Bolland, Bardhyl Miftari +3
The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have em…