Researching about Short-Term Power Load Forecasting Based on Improved BP ANN Algorithm

摘要

First, the forecasting principle and improved algorithms about BP ANN are briefly introduced. Then, an improved algorithm about BP ANN is put forward which based on subordinating degree function, and conduct simulating tests. The result indicates that convergence is rapid without changing the forecasting precision. Based on this and combined with the characteristic of power load forecasting, a model for BP ANN is built, and the corresponding software is designed. A good application effect is achieved to forecast the short-term power load with this software.