Optimization of thermal comfort, indoor quality, and energy-saving in campus classroom through deep Q learning
This study develops a control algorithm for optimization the energy consumptions of air-conditioning and exhaust fans through Deep Q-Learning in reinforcement learning. The proposed agent is able to balance indoor air quality (CO2), thermal comfort, and energy consumption. The algorithm was first tr...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-04-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X21000058 |