APLIKASI ALGORITMA FEED FORWARD BACKPROPAGATION UNTUK BEBAN LISTRIK HARI LIBUR PADA TIPE BEBAN ANOMALI

Linda Faridah, M Aris Risnandar, Imam Taufiqurrahman, Andri Ulus Rahayu

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


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DOI: https://doi.org/10.37058/jeee.v2i1.2123

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Journal of Energy and Electrical Engineering (JEEE)
Program Studi Teknik Elektro Fakultas Teknik Universitas Siliwangi
Jl. Siliwangi No. 24 Kota Tasikmalaya - 46115
email: jeee@unsil.ac.id
e-ISSN: 2720-989X


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