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

• 主要な著者: Othman, Muhammad Murtadha, Harun, Mohd Hafez Hilmi, Salim, Nur Ashida, Othman, Mohammad Lutfi
• フォーマット: 論文
• 言語: English
• 出版事項: Asian Research Publishing Network (ARPN) 2015
• オンライン･アクセス: 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

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...