Development of a model predictive control framework through real-time building energy management system data

Applied Energy

Volumn 155, Issue , 2015, Pages 1-13

  Kwak, Younghoon ^a   Huh, Jung Ho ^a   Jang, Cheolyong ^b  

^a University of Seoul   (South Korea)

^b Korea Institute of Energy Research (KIER)   (South Korea)

Author keywords

Building Controls Virtual Test Bed (BCVTB); Building energy management system data; Framework; Model predictive control (MPC); Real time

Indexed keywords

ALGORITHMS; BUILDINGS; ENERGY MANAGEMENT; ENERGY UTILIZATION; EQUIPMENT TESTING; ERRORS; INFORMATION MANAGEMENT; MEAN SQUARE ERROR; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS; UNCERTAINTY ANALYSIS; VIRTUAL REALITY;

BUILDING ENERGY MANAGEMENT SYSTEMS; BUILDING ENERGY SIMULATIONS; FRAMEWORK; MEASURED ENERGY CONSUMPTION; MODEL BASED PREDICTIVE CONTROL; REAL TIME; ROOT MEAN SQUARED ERRORS; VIRTUAL TEST BEDS;

ENERGY MANAGEMENT SYSTEMS;

ACCURACY ASSESSMENT; CONTROL SYSTEM; PRECISION; REAL TIME;

EID: 84930947616     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2015.05.096     Document Type: Article

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