Medium- and long-term power load forecasting model

Power load is an important part of power system, and forecasting has impact on system analysis, design control. With the development smart micro grid, gradually become module in energy management It “source, network, storage” “An link flow matching. The staged combined demand model grid based neural network polynomial regression adopted, judgment conditions are added to network. If training sample data does not converge process, terminated, automatically transferred obtain results. This method can be initially used for annual monthly forecasting. intelligent planning laid a certain technical foundation.