Fuzzy logic application for short term energy consumption forecasting in one shopping centre at Cirebon city

Abstract

Short-term forecasting is often used to predict with calculations using time, hour, day or week. This study aims to compare the accuracy of the results of the method. many choices of methods used for conventional forecasting (moving average, exponential smoothing, linear regression, and ARIMA) for artificial intelligence there are artificial neural network algorithms and fuzzy logic. A fuzzy logic method is a method used in research to predict energy consumption in one shopping centre in the city of Cirebon because as is well-known shopping centres are users of considerable energy consumption. The data used in this study is the cooling system which is the biggest user of energy consumption in shopping centres. It is hoped that this research can prove the accuracy of the fuzzy logic method for estimating energy consumption.