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In view of the defects of the prediction model based on neural network, such as when doing prediction of nonlinear sequence, it is likely to fall into local hypo-strong point, and the rate of training is very slow, based on the traditional prediction model using neural network, a novel short-term electrical load prediction model based on fuzzy wavelet neural networks (FWN) is presented in this paper...
Multivariate inputs play important role in system with many dependent variables. By using some different inputs as input in neuro-fuzzy networks, complex nonlinear model can be modeled and also be forecasted with better results. This paper describes a neuro-fuzzy approach with additional fuzzy C-means clustering method before the input entering the networks. Afterwards, the network can be used to...
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