Daily peak load forecasting using fuzzy logic / Mahad Salleh

Fuzzy logic is recently increasing giving emphasis on several appiications. ïn this thesis an adaptive fuzzy logic control system is used to forecast daily peak load from the historicai load data coliection. This adaptation should consider loads generation and weather characteristics like temperature and humidity. In this thesis, fuzzyTECH precompiler 4.1 edition software, one of the fuzzy logic engineering tools had been used to foTecast daily peak load. Three expenments were carried out to obtain good output forecast result Modiftcation of input and output language variables is made to improve the forecast accuracy. In this approach the forecasted error increased was only 1.97 %.