关键词: 电力系统, 径向基, 粗糙特征量, 负荷预测

Abstract:

The key characteristic of mining influence the load is always an important problem in power load forecasting.A reduction algorithm through rough characteristic-component algorithm is introduced.The key characteristics of the date of weather and history load data are discussed,and then a model combined with radical basis function neural network is established.Forecasting results of calculation examples show that the forecasting accuracy is obviously improved and more suitable for short-term load forecasting compared with traditional radical basis function neural network model that chooses input parameters in the light of experience.

Key words: power system;RBF;rough characteristic-component;load forecasting