Abstract:

Energy consumption is one of the most important factors indicating the social and economic development of the countries. In recent years, Turkey’s energy demand has also increased along with economic and social growth. Planning and management of increasing energy demand is vital for the country’s energy policy. The proper and reliable planning and management of energy will ensure the efficient use of economic and natural resources. Forecast methods and algorithms in energy planning and management are the most common methods used in determining energy demand. The demand for electricity can show regional, seasonal and instant fluctuations. Therefore, the factors that influence the prediction should be properly identified and evaluated. The growing economic growth, along with the increased housing demand, also increases the energy demand. In this study, the data of electricity in Turkey from 1970-2015 were processed and the performance analysis of the two methods was made by comparing the consumption values that occurred with the methods of the Artificial Neural Networks (YSA) and the Adaptive Network-Based Bully Logic Output System (ANFIS).

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