Title :
Forecasting of Turkey´s electricity consumption using Artificial Neural Network
Author :
Yetis, Yunus ; Jamshidi, Mo
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
Abstract :
In this paper, forecast of Turkey´s electricity consumption on energy sector basis until 2023 is investigated. Artificial Neural Networks (ANN) is preferred as a forecasting tool. The reasons behind choosing ANN are the ability of ANN to forecasting value of more than one variable and to model the nonlinear relation in the data structure. Founded forecast results by ANN are compared with official data.
Keywords :
data structures; electricity supply industry; neural nets; power consumption; power engineering computing; ANN; Turkey´s electricity consumption forecasting tool; artificial neural networks; data structure; nonlinear relation; Artificial intelligence; Artificial neural networks; Economic indicators; ANN; Prediction; Turkey´s electricity consumption;
Conference_Titel :
World Automation Congress (WAC), 2014
Conference_Location :
Waikoloa, HI
DOI :
10.1109/WAC.2014.6936121
