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

Key words: Load forecasting,Knowledge discovery