Extended Normalised Radial Basis Function for Short Term Load Forecasting

E. Wadge and V. Kodogiannis (UK)


Neural Networks, Load forecasting, Expectationmaximisation.


In this paper we analyse the problem of short term load forecasting and propose a novel neural network scheme based on the Extended Normalised Radial Basis Function network. The Bayesian Ying Yang Expectation Maximisation algorithm has been used with novel splitting operations to determine a network size and parameter set. The results are then compared with that of an MLP neural network.

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