Optimal Scheduling of Residential Heating, Ventilation and Air Conditioning Based on Deep Reinforcement Learning

Optimal Scheduling of Residential Heating, Ventilation and Air Conditioning Based on Deep Reinforcement Learning

Residential heating, ventilation and air conditioning (HVAC) provides important demand response resources for the new power system with high proportion of renewable energy. Residential HAVC scheduling strategies that adapt to real-time electricity price signals formulated by demand response program...

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Bibliographic Details
Main Authors: Mingchao Xia, Fangjian Chen, Qifang Chen, Siwei Liu, Yuguang Song, Te Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Residential heating
ventilation and air conditioning (HVAC)
scheduling
deep reinforcement learning
least-squares parameter estimation (LSPE)
Online Access:https://ieeexplore.ieee.org/document/9965191/

Internet

https://ieeexplore.ieee.org/document/9965191/

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