The Research of Power Load Prediction Based on Wavelet Packet of Unit Gate Function

Power load forecasting has an important role in leading and guiding in the planning process of power system. Using traditional means to predict the power load forecasting, prediction error is large, does not accurately reflect the situation of power load. The establishment of a mathematical model of short-term load forecasting based on wavelet packet function can verify the accuracy of the model in the power load forecasting. Wavelet packet functions can complete exhibit low frequency part and high frequency part of the signal power load. Build a long-term power load forecasting model, the actual consumption nonlinear model, predictive weighted linear regression model, logarithmic regression model, three for comparison, the weighted nonlinear model is more able reactive power load of the law, in the power of long-term load forecasting is a more accurate mathematical model. Actual prediction and error analysis can clearly draw wavelet packet function in power load forecasting error can effectively improve the accuracy. Therefore, the wavelet packet functions can more accurately reflect the power load patterns.