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- W2394098438 abstract "Power supply demand in Yuncheng electricity network is significantly affected by the variation of local weather,which makes an accurate estimate of this demand very difficult.To improve the short-term load forecasting,and artificial neural network model based on the fast BP algorithm is proposed in this paper.This model considers the influence of the main weather factors,i.e.,temperature and precipitation,on the electrical load,and hence makes the prediction more accurate and efficient.The load forecasting of Yuncheng electricity power network by using this model compares well with in-time observation." @default.
- W2394098438 created "2016-06-24" @default.
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- W2394098438 date "2006-01-01" @default.
- W2394098438 modified "2023-09-24" @default.
- W2394098438 title "Application of Weather Sensitive Neural Network used in Power Net Short-term Load Predication" @default.
- W2394098438 hasPublicationYear "2006" @default.
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