Tool for short-term load forecasting in transmission systems based on artificial intelligence techniques

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.