Open AccessShort Term Load Forecasting Menggunakan Metode Koefisien
Author(s) -
Yosefin Yosefin
Publication year - 2020
Publication title -
kilat
Language(s) - English
Resource type - Journals
eISSN - 2655-4925
pISSN - 2089-1245
DOI - 10.33322/kilat.v9i1.761
Subject(s) - electrical load , computer science , electricity , java , term (time) , load factor , energy (signal processing) , electric energy , realization (probability) , electric potential energy , statistic , reliability engineering , simulation , operating system , electrical engineering , statistics , engineering , mathematics , voltage , structural engineering , power (physics) , physics , quantum mechanics
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.