A Knowledge-based reinforcement learning control approach using deep Q network for cooling tower in HVAC systems
Author:
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9326315/9326464/09327385.pdf?arnumber=9327385
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Survey on the Control Techniques used In Process Control;2023 International Conference on Innovations in Engineering and Technology (ICIET);2023-07-13
2. Interpretable machine learning for building energy management: A state-of-the-art review;Advances in Applied Energy;2023-02
3. Deep Forest-Based DQN for Cooling Water System Energy Saving Control in HVAC;Buildings;2022-10-25
4. A Review of Reinforcement Learning Applications to Control of Heating, Ventilation and Air Conditioning Systems;Energies;2022-05-11
5. Active Exploration by Chance-Constrained Optimization for Voltage Regulation with Reinforcement Learning;Energies;2022-01-16
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