Measurement and verification of building systems under uncertain data: A Gaussian process modeling approach

Energy and Buildings

Volumn 75, Issue , 2014, Pages 189-198

  Burkhart, Michael C ^a   Heo, Yeonsook ^b   Zavala, Victor M ^a  

^a ARGONNE NATIONAL LABORATORY   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Data uncertainty; Expectation maximization; Gaussian process modeling; Measurement and verification

Indexed keywords

FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); MAXIMUM PRINCIPLE; PROCESS ENGINEERING;

CONFIDENCE LEVELS; DATA UNCERTAINTY; EXPECTATION - MAXIMIZATIONS; GAUSSIAN PROCESS MODELS; MEASUREMENT AND VERIFICATION; ROBUST PREDICTIONS; SENSOR INSTALLATION; UNCERTAIN INPUT DATA;

UNCERTAINTY ANALYSIS;

EID: 84897428690     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2014.01.048     Document Type: Article

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