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

2nd Annual Applied Science and Engineering Conference

工业技术;自然科学

Yaqin, E.N.^1 ; Abdullah, A.G.^1 ; Chandra, D.^1 ; Pratiwi, T.A.^1 ; Adhigunarto, S.^1 ; Shidiq, A.M.^1 ; Ramadhan, A.J.^1 ; Putra, R.P.^1 ; Alfaridzi, A.F.^1 ; Muttaqin, M.F.A.^1 ; Nandiyanto, A.B.D.^1

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

40154, Indonesia^1

关键词: Adaptive neuro fuzzy inference systems (ANFIS);    Electrical load forecasting;    Electrical systems;    Exponential smoothing;    Fuzzy subtractive clustering;    Load methods;    Short term load forecasting;    Single exponential smoothing methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/288/1/012119/pdf
DOI  :  10.1088/1757-899X/288/1/012119

来源: IOP

【 摘 要 】

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.