A review of ANN-based short-term load forecasting models

Artificial neural networks (ANN) have recently received considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. An extensive survey of ANN-based load forecasting models is given. The six most important factors which affect the accuracy and efficiency of the load forecasters are presented and discussed. The paper also includes conclusions reached by the authors as a result of their research in this area.<>