Title

Artificial neural networks for electricity consumption forecasting considering climatic factors

Document Type

Conference Proceeding

Publication Date

12-1-2010

Publication Title

Proc. of the 11th WSEAS Int. Conf. on Neural Networks, NN '10, Proceedings of the 11th WSEAS Int. Conf. on Evolutionary Computing, EC '10, Proc. of the 11th WSEAS Int. Conf. on Fuzzy Systems, FS '10

Abstract

This work develops Artificial Neural Networks (ANN) models applied to predict the consumption forecasting considering climatic factors. It is intended to verify the influence of climatic factors on the electricity consumption forecasting through the ANN. The case study is applied in the Campinas city, Brazil. This work used Perceptron and Backpropagation ANN models. The specific goal is comparisons the performance of neural networks as an alternative to traditional forecasting methods. In this work were observed that despite direct or indirect influence of climatic factors on electricity consumption, a good prediction can be obtained using ANN without climatic factors.

First Page

293

Last Page

298

ISBN

9789604741953

Identifier

SCOPUS_ID:79952641857

Documento original

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