Data analytics to improve building performance: A critical review
作者： H. Burak Gunay , Weiming Shen , Guy Newsham
DOI: 10.1016/J.AUTCON.2018.10.020
关键词:
摘要: Abstract The data inherent in building automation systems, computerized maintenance management security and access control IT networks represent an untapped opportunity to improve the operation (OM challenges related with accessing processing these datasets were examined; emerging sensing technologies presented. Further, research fields applying analytics OM need for semantic models of O&M comprehensive open was identified development assessment analytics-driven energy comfort algorithms.
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