43 citations · 52 across the 3 of their papers we have counts for
4 papers
Measurement-based/Model-less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids
Robin Henry, Rahul Gupta
The increasing adoption of measurement units in electrical power distribution grids has enabled the deployment of data-driven and measurement-based control schemes. Such schemes re…
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education
Robin Henry, Damien Ernst
Gym-ANM is a Python package that facilitates the design of reinforcement learning (RL) environments that model active network management (ANM) tasks in electricity networks. Here,…
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems
Robin Henry, Damien Ernst
Active network management (ANM) of electricity distribution networks include many complex stochastic sequential optimization problems. These problems need to be solved for integrat…
Critical Time Windows for Renewable Resource Complementarity Assessment
Mathias Berger, David Radu, Raphael Fonteneau +7
This paper proposes a systematic framework to assess the complementarity of renewable resources over arbitrary geographical scopes and temporal scales which is particularly well-su…