PREDICTION OF ELECTRICITY DEMAND BY USING SMOOTHING METHOD AND ARTIFICIAL INTELLIGENCE (case study : SulutGo system)

Abstract

Electrical energy is a basic need and plays an important role for people’s lives. Electricity needs can be divided into the household sector, business, public and industry. Electricity consumption increases with the number of consumers. Electricity consumptions demand in North Sulawesi and Gorontalo provinces in next periods requires an appropriate predictive model. This study aims to predict the amount of electricity demand in these provinces by using secondary data time series from 2012 to 2016. The method used are artificial intelligence and smoothing method. The facts revealed by the data existing from PT. PLN SulutGo. The model and its prediction result are expectd to be used as inputs for the planning of electricity systems construction.