Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network

Journal of Building Performance Simulation

Volumn 4, Issue 4, 2011, Pages 359-369

  Dong, Bing ^a   Lam, Khee Poh ^b  

^a UNITED TECHNOLOGIES RESEARCH CENTER   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

EnergyPlus; Gaussian mixture models; hidden Markov model; occupancy number and duration detection; Semi Markov model

Indexed keywords

BUILDING ENERGY; BUILT ENVIRONMENT; CARNEGIE MELLON UNIVERSITY; COMFORT MANAGEMENT; CURRENT SENSING; DEMAND-CONTROLLED VENTILATION; ENERGY IMPACT; ENERGYPLUS; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL SENSOR NETWORKS; GAUSSIAN MIXTURE MODEL; HIDDEN MARKOV MODELS (HMMS); INDOOR THERMAL COMFORT; NUMBER OF PEOPLES; OCCUPANCY NUMBER; OCCUPANT BEHAVIOUR; PATTERN DETECTION; SEMI MARKOV MODEL; VARIABLE-AIR-VOLUME SYSTEMS;

COMMUNICATION CHANNELS (INFORMATION THEORY); ENERGY UTILIZATION; HIDDEN MARKOV MODELS; OBJECT RECOGNITION; SENSOR NETWORKS; SENSORS;

BEHAVIORAL RESEARCH;

EID: 84859384992     PISSN: 19401493     EISSN: 19401507     Source Type: Journal    
DOI: 10.1080/19401493.2011.577810     Document Type: Article

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