Predicting the Short Term Electrical Energy Consumption using Dynamic Model and Genetic Algorithm

Residential and commercial buildings accounted for about 70% of the total electricity consumption in the world. Many researchers are working hard to reduce building electrical energy consumption. This work is concerned with managing short term electrical energy consumption by trying to predict this consumption in the near future (6 months) on the basis of the current consumption.The goal of this paper is to determine the future electrical energy consumption using a Genetic Algorithm. Unlike other approaches, which involved in questioning the users, feature extraction procedures were implemented on electrical energy consumption time series in order to extract knowledge. The Genetic Algorithm generates the future value of electrical energy consumption with an accepted accuracy.