In view of the characteristics of short-term load forecasting, the influence of each factor on load forecasting is evaluated through the correlation analysis of various factors and load data, and the most suitable influencing factors are selected as training samples. In addition, the concept of misplaced samples was introduced into the training samples to improve the prediction accuracy.

Filename	Size	Update
电力系统短期负荷预测的研究.caj	2672833	2018-05-31

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