Using Smart-WiFi Thermostat Data to Improve Prediction of Residential Energy Consumption and Estimation of Savings

Energy savings based upon use of smart WiFi thermostats ranging from 10 to 15% have been documented, as new features such as geofencing have been added. Here, a new benefit of smart WiFi thermostats is identified and investigated; namely, as a tool to improve the estimation accuracy of residential e...

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Bibliographic Details

Published in:	Energies
Main Authors:	Abdulrahman Alanezi, Kevin P. Hallinan, Rodwan Elhashmi
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Subjects:	smart WiFi thermostats machine learning residential energy consumption energy savings
Online Access:	https://www.mdpi.com/1996-1073/14/1/187