Tool For Short-Term Load Forecasting In Transmission Systems Based On Artificial Intelligence Techniques

C R Guirelli,J A Jardini,L C Magrini,J Yasuoka,A C Campos,Marcus Gomes Bastos

2004 IEEE/PES TRANSMISSION & DISTRIBUTION CONFERENCE & EXPOSITION: LATIN AMERICA（2004）

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Abstract

This paper analyzes the use of Wavelets and artificial intelligence techniques for short-term load forecast of energy transmission systems. Neural Networks, Fuzzy Logic and Wavelets have been investigated so as to determine the best-fit forecasting method for this issue. The development of a forecasting computer system is the outcome of this joint research project with CTEEP Transmissao Paulista.

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Key words

fuzzy logic, load forecast, neural networks, transmission systems

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