International Scientific and Vocational Studies Journal
Yazarlar: Mustafa Yasin ERTEN, Nihat İNANÇ
Konular:Mühendislik, Elektrik ve Elektronik
DOI:10.47897/bilmes.1033438
Anahtar Kelimeler:Short term load prediction,Machine Learning,Artificial Neural Network,Demand Side Management
Özet: Nowadays, there are many problems with the electricity system, such as increasing consumption, short-time overload during the intra-day, environmental problems caused by fossil fuel, and foreign-source dependency. Therefore, it is necessary to meet these increasing energy needs, minimize environmental impacts, and develop cost optimization solutions. In order to meet these requirements, it is necessary for the network to have a more dynamic structure and to have real-time monitoring and control systems. Furthermore, to develop the aforementioned system, it is necessary to estimate the load of the users in the system. Therefore, the developed artificial neural network-based load estimation algorithm is capable of high accuracy load estimates, and high precision data were obtained for use in the demand side management system.