Using Google Trends as a proxy for occupant behavior to predict building

Using Google Trends as a proxy for occupant behavior to predict building

10.1016/j.apenergy.2021.118343

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Bibliographic Details
Main Authors:	Fu, Chun, Miller, Clayton
Other Authors:	THE BUILT ENVIRONMENT
Format:	Article
Language:	English
Published:	ELSEVIER SCI LTD 2022
Subjects:	Science & Technology Technology Energy & Fuels Engineering, Chemical Engineering Google Trends Machine learning Kaggle competition Model error reduction Building energy prediction Energy model ENERGY-CONSUMPTION COOLING LOAD SIMULATION MACHINE
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/229410
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Institution:	National University of Singapore
Language:	English

Description
Summary:	10.1016/j.apenergy.2021.118343