Performance evaluation of artificial neural network-based variable control logic for double skin enveloped buildings during the heating season

Building and Environment

Volumn 82, Issue , 2014, Pages 328-338

  Kim, Sooyoung ^a   Lee, Ji Hyun ^b   Moon, Jin Woo ^c  

^a Yonsei University   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^c Hanbat National University   (South Korea)

Author keywords

Artificial neural network; Opening condition of envelope; Optimum control; Rule based controls; Thermal control logic; Variable heating devices

Indexed keywords

ENERGY EFFICIENCY; HEATING EQUIPMENT; NEURAL NETWORKS; OFFICE BUILDINGS;

HEATING DEVICES; OPENING CONDITIONS; OPTIMUM CONTROL; RULE-BASED CONTROL; THERMAL CONTROL;

HEATING;

ARTIFICIAL NEURAL NETWORK; BUILDING; COMPUTER SIMULATION; CONTROL SYSTEM; ENERGY EFFICIENCY; PERFORMANCE ASSESSMENT;

EID: 84923344375     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2014.08.031     Document Type: Article

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