Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning

Residential heating, ventilation, and air conditioning (HVAC) has been considered as an important demand response resource. However, the optimization of residential HVAC control is no trivial task due to the complexity of the thermal dynamic models of buildings and uncertainty associated with both o...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied energy 2020-11, Vol.281 (1)
Hauptverfasser:	Du, Yan, Zandi, Helia, Kotevska, Olivera, Kurte, Kuldeep, Munk, Jeffery, Amasyali, Kadir, Mckee, Evan, Li, Fangxing
Format:	Artikel
Sprache:	eng
Schlagworte:	Actor-critic learning Deep deterministic policy gradient (DDPG) Deep reinforcement learning (deep RL) Demand response ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION Multi-zone residential HVAC
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!