Abstract
Electric power load forecasting is a very important work, which has vital significance on guaranteeing the healthy development of electric power industry and national economy. This paper analysed the relevant influencing factors on mid-and long-term electric power load, establishes the forecasting model of electric power load by BP neural network . It improved the problem that the training speed of BP neural network is slow in some conditions. At last, the model is validated with concrete examples with programs compiled with Matlab toolbox, and very good results are obtained. (5 pages)
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