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

• المؤلفون الرئيسيون: Othman, Muhammad Murtadha, Harun, Mohd Hafez Hilmi, Salim, Nur Ashida, Othman, Mohammad Lutfi
• التنسيق: مقال
• اللغة: English
• منشور في: Asian Research Publishing Network (ARPN) 2015
• الوصول للمادة أونلاين: 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...