Long-term electrical consumption forecasting using Artificial Neural Network (ANN)

R. Adhiswara; A.G. Abdullah; Y. Mulyadi

doi:10.1088/1742-6596/1402/3/033081

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Long-term electrical consumption forecasting using Artificial Neural Network (ANN)

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R. Adhiswara, A.G. Abdullah, Y. Mulyadi

2019 Journal of Physics: Conference Series Vol. 1402 Issue 3 Conference paper Cited by 14 SDG 7

Abstract

Long-term forecasting of electricity energy consumption has become one of the main fields in the electricity sector in each country. This study aims to compare the accuracy of the results of the method used in this study with research conducted by the government to estimate electricity consumption in Indonesia. Many methods can be used to estimate electrical energy consumption such as statistic methods (Exponential Smoothing, ARIMA, Regression), fuzzy logic and artificial neural network algorithms. The method used in RUPTL is Simple E (Simple Econometric) and method used in this study is the Artificial Neural Network algorithm. The results of this research are data on estimates of electricity consumption in Indonesia for 2019-2025. This research is expected to prove the accuracy of the Artificial Neural Network (ANN) method to estimate electricity consumption in Indonesia. © Published under licence by IOP Publishing Ltd.

Affiliations

Departemen Pendidikan Teknik Elektro, Universitas Pendidikan Indonesia, Jalan. Dr. Setiabudhi 207, Bandung, 40154, Indonesia

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