Artificial Intelligence Method for the Forecast and Separation of Total and HVAC Loads With Application to Energy Management of Smart and NZE Homes

Separating the HVAC energy use from the total residential load can be used to improve energy usage monitoring and to enhance the house energy management systems (HEMS) for existing houses that do not have dedicated HVAC circuits. In this paper, a novel method is proposed to separate the HVAC dominan...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Rosemary E. Alden, Huangjie Gong, Evan S. Jones, Cristinel Ababei, Dan M. Ionel
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Machine learning (ML) long short-term memory (LSTM) home energy management system (HEMS) demand response (DR) solar photovoltaic (PV) non-intrusive load monitoring (NILM)
Online Access:	https://ieeexplore.ieee.org/document/9620086/