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Mgs. Abd Fattah
Electrical Engineering Department, Universitas Muhammadiyah, Palembang
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Environmental Science

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Pengaruh Perubahan Jumlah Layer Pada Prediksi Konsumsi Daya Listrik Mgs. Abd Fattah; Erliza Yuniarti; Sofiah Sofiah
Jurnal Serambi Engineering Vol 6, No 4 (2021): Oktober 2021
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v6i4.3498

Abstract

Electrical load forecasting is very important to meet consumer needs according to load patterns. The electricity generated if it exceeds the amount needed will cause waste, on the other hand if the generator is smaller than the demand it can result in rotating power outages which result in losses to consumers. The purpose of this study was to determine the performance metric of the mean absolute percentage error (MAPE) in forecasting the load one day ahead by using an artificial neural network (ANN) algorithm. Forecasting with this ANN uses variations in the number of layers, namely 1 layer, 2 layers, 3 layers and other constant parameters. Forecasting uses time series data in period one from 1-28 December 2017. Forecasting output finds that ANN 1 layer provides the best value with a MAPE of 5,0053%, and is able to identify existing load patterns.
Co-Authors Erliza Yuniarti Sofiah Sofiah