Sequential process of feature extraction methods for artificial neural network in short term load forecasting

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Sequential process of feature extraction methods for artificial neural network in short term load forecasting

The first stage of feature extraction involves a transformation of raw data that is from the chronological hourly peak loads to the multiple time lags of hourly peak loads. This is followed by the next feature extraction wherein the principal component analysis (PCA) is used to further improve the i...

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Bibliographic Details
Main Authors:	Othman, Muhammad Murtadha, Harun, Mohd Hafez Hilmi, Salim, Nur Ashida, Othman, Mohammad Lutfi
Format:	Article
Language:	English
Published:	Asian Research Publishing Network (ARPN) 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/46265/ http://psasir.upm.edu.my/id/eprint/46265/1/Sequential%20process%20of%20feature%20extraction%20methods%20for%20artificial%20neural%20network%20in%20short%20term%20load%20forecasting.pdf

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