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- W2351330455 abstract "Wavelet neural network is a new power load forecasting method.In this paper,wavelet analysis and BP neural networks are combined.A sample decomposition of load sequence is done by wavelet transform and the different scales of wavelet coefficients are got.Then the wavelet coefficients to be threshold are chosen and the wavelet coefficients are predicted by BP neural network.At the same time the development of long-term change of historical load data is derived,combined with learning from the experience of professional knowledge form a series of relevant rules and simulating human expert's reasoning judging process,a expert system is formed.Finally the expert system is used to amend prediction data of the wavelet neural network.In this paper,based on the load data of Shaanxi Hanzhong Grid,the method to embed a expert system in the wavelet neural network is implemented,and prediction accuracy is improved." @default.
- W2351330455 created "2016-06-24" @default.
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- W2351330455 date "2009-01-01" @default.
- W2351330455 modified "2023-09-25" @default.
- W2351330455 title "Short-term Power Load Forecasting Based on Wavelet Neural Network Embedding Expert System" @default.
- W2351330455 hasPublicationYear "2009" @default.
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