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All Journal Journal of Energy and Electrical Engineering (JEEE)
M Aris Risnandar
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Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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APLIKASI ALGORITMA FEED FORWARD BACKPROPAGATION UNTUK BEBAN LISTRIK HARI LIBUR PADA TIPE BEBAN ANOMALI Linda Faridah; M Aris Risnandar; Imam Taufiqurrahman; Andri Ulus Rahayu
Journal of Energy and Electrical Engineering (JEEE) Vol 2, No 1: Oktober 2020
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v2i1.2123

Abstract

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
Co-Authors Andri Ulus Rahayu Imam Taufiqurrahman Linda Faridah