The Application of Elimination Method in Long-Term Power Load Forecasting

In order to reflect the influence of each element on the load forecasting result, an Artificial Neural Network (ANN) based approach for long-term load forecasting is investigated. The idea is to forecast medium and long term power load of Shanxi Province using the ability of ANN of nonlinear modeling. Seven factors are selected as Input Variables for the proposed ANN. The factors include GDP, heavy industry production, light industry production, agriculture production, primary industry, secondary industry, tertiary industry. Elimination method is used for the optimization selection of correlative factors, and forecasting accuracy is discussed. Simulation results show that predicting precision is elevated notably. After using elimination method, so the method brought forward is feasible and effective.