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Journal : Kilat

Short Term Load Forecasting Menggunakan Metode Koefisien Yosefin Yosefin
KILAT Vol 9 No 1 (2020): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.913 KB) | DOI: 10.33322/kilat.v9i1.761

Abstract

Electrical energy has a very important role in national economic growth. With the electrical energy requirements, it is necessary to operate an economical, reliable and quality system. The creation of a template for operating load forecasting for the Java-Bali system uses a coefficient method to calculate weekly loads, daily loads, and loads per ½ hour which is more user friendly. After this Load Forecasting template is applied, the result is a more efficient load deepening in terms of file size and time, and is more effective with the results of the calculation of electric energy (1.71%), electricity load (0.85%), and load factor 79% from planning data and manual realization.