Electricity consumption estimation within the scope of energy efficiency with machine learning methods: An application in erzincan province

Energy is very important for a country not only economically but also politically and environmentally. Energy consumption has increased with technological developments and increasing welfare levels. With the increasing need for energy, the concept of energy management has emerged. One of the important energy sources is electrical energy. As in the whole world, studies are carried out to create energy awareness in our country. It is aimed to use energy efficiently with the energy policies put forward in our country. Energy management includes industrial organizations, industrial enterprises, commercial establishments and public institutions. Schools have an important place among public institutions. Knowing the future electricity consumption will help to develop strategies for energy management. Data mining techniques can be used to overcome the limitations and problems in predictions made by traditional methods. Thanks to data mining, it is possible to obtain meaningful information from the available data. In this thesis, machine learning methods are used to predict the electricity consumption of primary schools in Erzincan province using data from 2016 to 2022. It is thought that the study will be an example for energy management units.