FUZZY-LOGIC FOR SHORT-TERM LOAD FORECASTING

The results of an investigation of a fuzzy logic model for short term load forecasting are presented. The proposed methodology uses fuzzy ru les to incorporate historical weather and load data. These fuzzy rules are obtained from the historical data using a learning-type algorithm . Test results from daily peak and total load forecasts for one year o f data from a large scale power system indicate that the fuzzy rule ba ses can produce results similar in accuracy to more complicated statis tical and back-propagation neural network methods. Copyright (C) 1996 Elsevier Science Ltd.