id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fuelectenerg-3076	Farhadi, Mahdi	A SELF ORGANIZING MAP BASED OF ELECTRIC LOAD CLASSIFICATION	2018	13	.pdf	application/pdf	5380	240	47	The flexibility of the proposed classifier program due to the capability of changing the dimensions of the Kohonen network provides the possibility to adjust and increase the accuracy of electric load classifier by increasing the dimensions and the number of neurons of the neural network in an optimal form. Key words: Short-term load forecasting, similar sampling process, Kohonen self-organizing map, pattern recognition, electric load classification, load classifier 1. INTRODUCTION Electric load forecasting is of high importance for efficient generation and distribution of electric energy in power grids.	cache/fuelectenerg-3076.pdf	txt/fuelectenerg-3076.txt