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 Technology and Urban Systems Division Whole Building Systems Department Commercial Building Systems
Research Areas	BTUS Energy Analytics EMIS
File(s)	PDF
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