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Distribution Network Load Forecasting Based on Improved BP Neural Network

In order to overcome the inherent defects of traditional neural networks, and further improve the short-term power load prediction accuracy of the station, the genetic algorithm is introduced to optimize the classical neural network algorithm, the initial value and threshold of the neural network are recalculated, and the prediction model is established. The predicted results are obtained through simulation training and compared. Finally, the effectiveness of the algorithm is proved by an example of a city.