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

Publication

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

by Kuldeep R Kurte, Jeffrey D Munk, Helia Zandi

Publication Type

Journal

Journal Name

91�� Power and Energy Magazine

Publication Date

May, 2022

Page Numbers

42 to 53

Volume

Issue

Abstract

Buildings account for 40% of total primary energy consumption and 30% of all CO 2 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.

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

Abstract

Researchers

Organizations

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