Evaluating the Adaptability of Reinforcement Learning Based HVAC Control for Residential Houses

Intelligent Heating, Ventilation, and Air Conditioning (HVAC) control using deep reinforcement learning (DRL) has recently gained a lot of attention due to its ability to optimally control the complex behavior of the HVAC system. However, more exploration is needed on understanding the adaptability...

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Veröffentlicht in:	Sustainability 2020-09, Vol.12 (18), p.7727
Hauptverfasser:	Kurte, Kuldeep, Munk, Jeffrey, Kotevska, Olivera, Amasyali, Kadir, Smith, Robert, McKee, Evan, Du, Yan, Cui, Borui, Kuruganti, Teja, Zandi, Helia
Format:	Artikel
Sprache:	eng
Schlagworte:	adaptability building energy building simulation deep reinforcement learning demand response ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION optimal HVAC control smart grid
Online-Zugang:	Volltext
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