A STATISTICAL APPROACH TO MODELING AND FORECAST OF CCHP ENERGY AND COOLING DEMAND AND OPTIMIZATION CCHP CONTROL SETPOINTS

摘要

A computer-implemented method of using an integrated methodology of forecasting and optimization to determine optimal values for a Combined Cooling, Heating, and Power (CCHP) system associated with a site includes constructing a time-series regression model for cooling and electricity load demand based on long-term historical data associated with the CCHP system. The time-series regression model for cooling and electricity load demand is applied to weather forecast data and short-term historical data associated with the CCHP system to yield one or more predictions of cooling and electricity load demand. A plurality of optimal CCHP data settings is determined for devices included in the CCHP system using the one or more predictions of cooling and electricity load demand.