Power Load Forecasting Model Based on Knowledge Discovery for Heilongjiang Province

Load forecasting is a traditional research field of power system. This paper analyzed the meteorological and economic characteristics of Heilongjiang Province, and put forward the load forecasting model based on knowledge discovery. First of all, generate the preliminary prediction curve by traditional method, and extract related rules from the historical load and meteorological data, then update the preliminary prediction curve using these rules, and generate the final prediction curve. The model has been used in software system of load forecasting for Heilongjiang power grid Co, Ltd., and obtained desired results.