Open AccessAPLIKASI ALGORITMA FEED FORWARD BACKPROPAGATION UNTUK BEBAN LISTRIK HARI LIBUR PADA TIPE BEBAN ANOMALI
Author(s) -
Linda Faridah,
M Aris Risnandar,
Imam Taufiqurrahman,
Andri Ulus R
Publication year - 2020
Publication title -
journal of energy and electrical engineering
Language(s) - English
Resource type - Journals
ISSN - 2720-989X
DOI - 10.37058/jeee.v2i1.2123
Subject(s) - backpropagation , artificial neural network , computer science , artificial intelligence , matlab , feed forward , machine learning , engineering , control engineering , operating system
Load pattern for holiday have significant differenct from weekday day, so that require special prediction. This research have purpose to test the performance feed forward backpropagation to know accuracy level of load forecasting for holiday anomalous load. Learning algorithm used feed forward backpropagation from artificial neural network with matlab. Load forecasting optimization is change learning rate and some of learning input. The reasult of this reasult showed learning input give best reasult on mean but difference from that value is small, so learning rate variation small affected at learning