Heating Load Forecasting Based On MIS

The people have more and more requirement to the environment quality and living quality at the present time, so heating supply has become the main business of co-generation power plant. In the respect of economic operation of the co-generation units, "heat decides electricity" has become the principle of the units operation adjustment of the power grid. Therefore, the heating load forecast is very important to the operation of the co-generation power plant.In this article, based on ANN (Artificial Neural Networks) and Heating Network Management Information System, the heating load is forecasted by improved BP algorithm through two different models (heating period model and non-heating period model). At the same time, the "Heating Network Management Information System" is developed by using the combined technology of C/S and B/S, it is very helpful for decreasing the heating supply cost and increasing the enterprise modernization management level.