Dk. Ranaweera et al., FUZZY-LOGIC FOR SHORT-TERM LOAD FORECASTING, INTERNATIONAL JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS, 18(4), 1996, pp. 215-222
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.