12 citations · 15 across the 8 of their papers we have counts for
4 papers · 1 filter
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning
Wenqi Cai, Hossein N. Esfahani, Arash B. Kordabad +1
The cost of the power distribution infrastructures is driven by the peak power encountered in the system. Therefore, the distribution network operators consider billing consumers b…
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning
A. Bahari Kordabad, W. Cai, S. Gros
In this paper, we present the use of Model Predictive Control (MPC) based on Reinforcement Learning (RL) to find the optimal policy for a multi-agent battery storage system. A time…
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles
Wenqi Cai, Arash B. Kordabad, Hossein N. Esfahani +2
In this work, we propose a Model Predictive Control (MPC)-based Reinforcement Learning (RL) method for Autonomous Surface Vehicles (ASVs). The objective is to find an optimal polic…
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage
Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros
In this paper, we are interested in optimal control problems with purely economic costs, which often yield optimal policies having a (nearly) bang-bang structure. We focus on polic…