Theory Study and Application of the BP⁃ANN Method for Power Grid Short⁃Term Load Forecasting
Release Date：2015-10-21
Author：Xia Hua, Gang Zhang, Jiawei Yang and Zhengyuan Li
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[Abstract] Aiming at the low accuracy problem of power system short⁃term load forecasting by traditional methods, a back⁃propagation artificial neural network (BP⁃ANN) based method for short⁃term load forecasting is presented in this paper. The forecast points are related to prophase adjacent data as well as the periodical long⁃term historical load data. Then the short⁃term load forecasting model of Shanxi Power Grid (China) based on BP⁃ANN method and correlation analysis is established. The simulation model matches well with practical power system load, indicating the BP⁃ANN method is simple and with higher precision and practicality.
[Keywords] BP⁃ANN; short⁃term load forecasting of power grid; multiscale entropy; correlation analysis
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