Design of machine learning models with domain experts for automated sensor selection for energy fault detection

Date Published	02/2019
Publication Type	Journal Article

Authors	R L Hu Jessica Granderson David M Auslander Alice M Agogino
DOI	10.1016/j.apenergy.2018.10.107
Journal	Applied Energy
Volume	235
Year of Publication	2019
Pagination	117 - 128
ISSN Number	03062619
Short Title	Applied Energy
Keywords	Energy efficiency Energy savings Anomaly detection Machine learning Domain knowledge Time scales Fault detection
Organizations	Building & Industrial Energy Systems Division Whole Building Systems Department Commercial Building Systems
Research Areas	BTUS Energy Analytics EMIS
File(s)	PDF
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