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This paper describes an on-line load prediction system for supporting DHC (District Heating and Cooling) plants operation. Especially for DHC plants using electricity, it is desirable to shift electric power using from daytime to nighttime by thermal storage. For that purpose, it is necessary to make a schedule of the operation of DHC plant, based on the predicted hourly load for the next day. This prediction system consists of three components. One is the daily total load prediction. Second is the load proportion prediction. The last is the hourly load predictions. Neural network model is applied for the load pattern prediction. This paper shows results of simulation on the load pattern prediction and the hourly load predictions using real DHC plant heat load data.

Practical Use of a Load Prediction System for Supporting District Heating and Cooling Plants Operation