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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Othman, Muhammad Murtadha, Harun, Mohd Hafez Hilmi, Salim, Nur Ashida, Othman, Mohammad Lutfi
格式: Article
語言:English
出版: Asian Research Publishing Network (ARPN) 2015
在線閱讀: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
http://psasir.upm.edu.my/id/eprint/46265/
http://www.arpnjournals.com/jeas/volume_19_2015.htm
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!