Short Term Load Forecasting for Weekends in Indonesia: Comparison of Three Methods

E.N. Yaqin; A.G. Abdullah; D. Chandra; T.A. Pratiwi; S. Adhigunarto; A.M. Shidiq; A.J. Ramadhan; R.P. Putra; A.F. Alfaridzi; M.F.A. Muttaqin; A.B.D. Nandiyanto

doi:10.1088/1757-899X/288/1/012119

Short Term Load Forecasting for Weekends in Indonesia: Comparison of Three Methods

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E.N. Yaqin, A.G. Abdullah, D. Chandra, T.A. Pratiwi, S. Adhigunarto, A.M. Shidiq, A.J. Ramadhan, R.P. Putra, A.F. Alfaridzi, M.F.A. Muttaqin, A.B.D. Nandiyanto

2018 IOP Conference Series: Materials Science and Engineering Vol. 288 Issue 1 Conference paper Cited by 6 SDG 7

Abstract

This paper compares the three methods used for short-term load forecasting on the electrical system in Indonesia. The three methods are coefficient load method, single exponential smoothing, and fuzzy subtractive clustering that in optimization using adaptive neuro fuzzy inference system (ANFIS). The experiments were conducted on seven data of electric load on a weekends in October 2014. The result of simulation showed that single exponential smoothing method is more precision in electrical load forecasting for weekends in Indonesia. © Published under licence by IOP Publishing Ltd.

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Universitas Pendidikan Indonesia, Jl. Dr. Setiabudhi No. 207, Bandung, 40154, Indonesia

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