Zobrazeno 1 - 2
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pro vyhledávání: '"Emanuel Jaimes"'
Autor:
Kuan-Heng Yu, Yi-An Chen, Emanuel Jaimes, Wu-Chieh Wu, Kuo-Kai Liao, Jen-Chung Liao, Kuang-Chin Lu, Wen-Jenn Sheu, Chi-Chuan Wang
Publikováno v:
Case Studies in Thermal Engineering, Vol 24, Iss , Pp 100842- (2021)
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,
Externí odkaz:
https://doaj.org/article/0721cfec68f4429e96d54f5be2d7457d
Publikováno v:
ASME 2020 14th International Conference on Energy Sustainability.
This study investigates the performance of an optimal indoor environment in a campus classroom. The control system is able to regulate and balance the needs for illuminance, thermal comfort, air quality, and energy saving. By incorporating with Machi