Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms
To face the global energy crisis, the requirement of energy transition and sustainable development has emphasized the importance of controlling building energy management systems. Reinforcement learning (RL) has shown notable energy-saving potential in the optimal control of heating, ventilation, an...
Saved in:
| Main Authors: | Xiangrui Wang, Qilin Zhang, Zhihua Chen, Jingjing Yang, Yixing Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/18/9/2225 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep Reinforcement Learning-Based Enhancement of Robotic Arm Target-Reaching Performance
by: Ldet Honelign, et al.
Published: (2025-03-01) -
Open Source HBIM and OpenAI: Review and New Analyses on LLMs Integration
by: Filippo Diara
Published: (2025-04-01) -
A deep q-networks model for optimising decision-making process in the context of energy transition modelling
by: Ana Tănăsescu, et al.
Published: (2025-01-01) -
AI-driven feedback system: Implementing advanced NLP and openAI for online learning
by: Liberius Sabinus Koe, et al.
Published: (2025-01-01) -
A Custom Reinforcement Learning Environment for Hybrid Renewable Energy Systems: Design and Implementation
by: Dalton F. Guedes Filho, et al.
Published: (2025-01-01)