id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_bkf2yq62svgubgfcf4nyrfvrra	P.K. Dash	Fuzzy neural network and fuzzy expert system for load forecasting	1996	9	.pdf	application/pdf	5991	750	75	Fuzzy neural network and fuzzy expert system for load forecasting Generation, Transmission and Distribution, IEE ProceedingsIndexing terms: Neural networks, Load forecasting, Expert system, Power system planning and a fuzzy expert system (FES) producing load corrections to yield the final forecast. and the output vector is defined in terms of fuzzy classmembership values of the forecast load. use of an adaptive fuzzy load error correction scheme. Several examples presented in this paper include 24hahead average, peak and hourly load forecasts using During training, the neural net produces an initial forecast with a set of initial load, temperature and humidity data expressed in terms of fuzzy membership values. The errors in the weather parameters and load-correction values are fuzzified using six fuzzy sets such as SP eLc is the maximum load error correction for the corresponding linguistic set (for which the membership value 	./cache/work_bkf2yq62svgubgfcf4nyrfvrra.pdf	./txt/work_bkf2yq62svgubgfcf4nyrfvrra.txt