This repository contains an implementation of a Deep Reinforcement Learning (DRL) algorithm for managing the energy demand and supply of a microgrid. † †thanks: This work was supported by RBC Borealis through the Let's Solve it program. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a. . Microgrids (MGs) provide a promising solution by enabling localized control over energy generation, storage, and distribution. Specifically, we propose an RL agent that learns. . Abstract—The accessibility of real-time operational data along with breakthroughs in processing power have promoted the use of Machine Learning (ML) applications in current power systems. tailored for remote communities.
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