Using adaptive network based fuzzy inference system to forecast regional electricity loads
作者： Li-Chih Ying , Mei-Chiu Pan
DOI: 10.1016/J.ENCONMAN.2007.06.015
关键词:
摘要: Since accurate regional load forecasting is very important for improvement of the management performance electric industry, various methods have been developed. The purpose this study to apply adaptive network based fuzzy inference system (ANFIS) model forecast electricity loads in Taiwan and demonstrate model. Based on mean absolute percentage errors statistical results, we can see that ANFIS has better than regression model, artificial neural (ANN) support vector machines with genetic algorithms (SVMG) recurrent (RSVMG) hybrid ellipsoidal systems time series (HEFST) Thus, a promising alternative loads.
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