A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: From model to application

Building and Environment

Volumn 72, Issue , 2014, Pages 309-318

  Zhao, Qianchuan ^a   Zhao, Yin ^a   Wang, Fulin ^a   Wang, Jinlong ^a   Jiang, Yi ^b   Zhang, Fan ^b  

^a TSINGHUA UNIVERSITY   (China)

^b United Technologies Research Center China Ltd   (China)

Author keywords

Data driven modeling; Least squares estimation; Personal energy saving potentials; Personal thermal comfort; PMV

Indexed keywords

ENERGY CONSERVATION; INFORMATION TECHNOLOGY;

ADJUSTABLE COEFFICIENT; BUILDING OPERATIONS; DATA-DRIVEN MODEL; LEAST SQUARES ESTIMATION; OFFICE ENVIRONMENTS; PERSONAL ENERGY; PMV; THERMAL COMFORT MODELS;

THERMAL COMFORT;

ACCURACY ASSESSMENT; BUILDING; ENERGY CONSERVATION; FEASIBILITY STUDY; HEAT BALANCE; INFORMATION TECHNOLOGY; LEAST SQUARES METHOD; NUMERICAL MODEL; PHYSIOLOGY;

EID: 84896917542     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2013.11.008     Document Type: Article

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