A Custom Reinforcement Learning Environment for Hybrid Renewable Energy Systems: Design and Implementation

A Custom Reinforcement Learning Environment for Hybrid Renewable Energy Systems: Design and Implementation

We present HybridEnergyEnv, an open-source, Gym-style simulation environment designed for reinforcement learning (RL) research in hybrid renewable energy systems (HRES) combining wind, solar, and battery storage. The environment incorporates realistic component models, including intermittent renewab...

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Bibliographic Details
Main Authors: Dalton F. Guedes Filho, Marcelo A. Moret, Erick G. Sperandio Nascimento
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
OpenAI gym environment
deep reinforcement learning
hybrid renewable energy
wind energy
solar energy
battery energy storage system
Online Access:https://ieeexplore.ieee.org/document/11097283/
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