Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control

Proceedings of the IEEE

Volumn 100, Issue 1, 2012, Pages 240-253

  Aswani, Anil ^a   Master, Neal ^a   Taneja, Jay ^a   Culler, David ^a   Tomlin, Claire ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Air conditioning (AC); building automation; energy efficiency; learning; model predictive control (MPC)

Indexed keywords

AIR CONDITIONING; ELECTRIC POWER UTILIZATION; EMBEDDED SYSTEMS; ENERGY EFFICIENCY; ENERGY UTILIZATION; GREEN COMPUTING; HEATING; HVAC; INTELLIGENT BUILDINGS; LEARNING SYSTEMS; POSITION CONTROL; POWER QUALITY; PREDICTIVE CONTROL SYSTEMS;

BUILDING AUTOMATION; EFFICIENCY IMPROVEMENT; ELECTRICAL CONSUMPTION; ELECTRICITY-CONSUMPTION; HEAT-PUMP AIR CONDITIONER; LEARNING; LEARNING BASED MODELS; TEMPERATURE DYNAMICS;

MODEL PREDICTIVE CONTROL;

EID: 84155165350     PISSN: 00189219     EISSN: None     Source Type: Journal    
DOI: 10.1109/JPROC.2011.2161242     Document Type: Article

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