Short term load forecasting can be made effective and closer to actual demand by applying the suggested multi pronged approach of genetic, fuzzy and statistical method as discussed in this paper. Taking the advantages of global search abilities of evolutionary computing as well as expert inference based on statistical aspects, load forecasting can be made nearly error free. The results were compared with actual load demand in past and yielded fairly encouraging results.

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Fuzzy sets fuzzy systems short term load forecasting soft computing techniques