Demonstration of Intelligent HVAC Load Management With Deep Reinforcement Learning: Real-World Experience of Machine Learning in Demand Control

Yan Du, Fangxing Li, Kuldeep Kurte, Jeffrey Munk, Helia Zandi

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Buildings account for 40% of total primary energy consumption and 30% of all CO2 emissions worldwide. A large portion of building energy consumption is due to heating, ventilation, and air-conditioning (HVAC) systems. In the summer, for example, more than 50% of a building's electricity consumption is used for cooling. With proper energy management, buildings can provide load shifting, peak shaving, frequency regulation, and many other demand response services.

Original languageEnglish
Pages (from-to)42-53
Number of pages12
JournalIEEE Power and Energy Magazine
Volume20
Issue number3
DOIs
StatePublished - 2022

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