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This paper put forward a new method of the fuzzy rules and wavelet neural network model for short-term load forecasting. The neural call function is basis of nonlinear wavelets. We overcome the shortcoming of single train set of fuzzy rules. It can be seen from the example this method can improve effectively the forecast accuracy and speed. The forecast model was tested and the result showed that...
The article forecasts the power load with Elman neural network. First of all, it gives the basic principle of Elman neural network, and then it determines the structure parameters, transfer function and training times of model, normalizes the data. It gets a good result with forecasting actual history data of a certain electric network; it shows that forecasting power load with Elman neural network...
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