Short term load forecast in industry zone

In this thesis, the estimation of the electrical energy used in the Organized Industrial Zone was investigated by Arima, Double Seasonal Holt Winter and Artificial Neural Networks. The results were compared with each other. The answer to the question of which model best estimates the electric consumption of the Organized Industrial Zone was thought. The electricity consumption between the years of 2011-2017 of the Organized Industrial Zone was examined in hourly. According to the available data, models have been created and the best model for this Organized Industrial Zone has been tried to be created. The new model will be a powerful guide to Organized Industrial Zone Management while making electricity purchase contracts. In addition, the right demand will ensure that Electricity Producers use their resources at the optimum level. Keywords: Demand forecasting, Arima, Holt Winters, artificial neural networks, electricity demand