ELECTRIC ENERGY LOAD FORECASTING USING ANFIS AND ARMA METHODS

Demirel O., KAKİLLİ A., Tektas M.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.25, sa.3, ss.601-610, 2010 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 3
  • Basım Tarihi: 2010
  • Dergi Adı: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.601-610
  • Anahtar Kelimeler: Load Forecasting, Anfis Model, Arma Model
  • Marmara Üniversitesi Adresli: Evet

Özet

Electricity power is one of the needs of people to be able to live a contemporary life and for his well-being. In order for this need to be met, it is vital that electricity is produced enough and in good quality. It is necessary to predict the need of electricity beforehand, and thereby deciding on the generation of it. In this study, of the prediction methods, Regression, ANFIS, and ARMA have been used to assess the results obtained and the most successful method in the prediction of electricity demand has been determined. Fuuzy Logic and Neural Networks toolboxes of Matlab 7.04 for ANFIS medel and SPSS 15 for ARMA model were used respectively.