Air conditioning
; Air pollution
; Cost functions
; Energy efficiency
; Energy utilization
; HVAC
; Optimal control systems
; Predictive control systems
; Thermal comfort
; Ventilation
; Application scenario
; Efficient control
; Indoor thermal comfort
; Operational parameters
; Optimal control strategy
; Optimal cost function
; Predictive modeling
; Ventilation control
; Model predictive control
Department of Civil and Environmental Engineering, Soochow University, Suzhou, Jiangsu, China
Recommended Citation:
Fang J.,Ma R.,Deng Y.. Identification of the optimal control strategies for the energy-efficient ventilation under the model predictive control[J]. Sustainable Cities and Society,2020-01-01,53