Advances and challenges in building engineering and data mining applications for energy-efficient communities

Sustainable Cities and Society

Volumn 25, Issue , 2016, Pages 33-38

  Yu, Zhun ^a   Haghighat, Fariborz ^b   Fung, Benjamin C M ^c  

^a HUNAN UNIVERSITY   (China)

^b Dept of Electrical and Computer Engineering   (Canada)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Big Data; Building Energy Use; Data Mining; Occupant Behavior; Review

Indexed keywords

BIG DATA; BUILDINGS; DISCOVERY WELLS; ENERGY EFFICIENCY; REVIEWS;

BUILDING ENERGY USE; BUILDING PERFORMANCE; DATA MINING APPLICATIONS; DATA MINING TASKS; DATA MINING TECHNOLOGY; ENERGY EFFICIENT; OCCUPANT BEHAVIOR; RESEARCH TRENDS;

DATA MINING;

EID: 84953228030     PISSN: 22106707     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scs.2015.12.001     Document Type: Review

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