Development of model predictive control method using ANN and metaheuristics (Part 6) Estimation of prediction and control horizon on optimal control in model predictive control

抄録

In this study, the effectiveness of a model predictive control (MPC) strategy for an office building subject to occupancy disturbance and time-varying electricity pricing was investigated. An artificial neural network and metaheuristics algorithm were employed for prediction and optimization, respectively. Prior to the MPC implementation, different condition of prediction and control horizon was estimated. As a result, MPC managed the room temperature well and saved total operation cost.