Hybrid Fuzzy Time Series Methods Applied to Solar Radiation Forecasting

Olcan C., Mahmudov E.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, cilt.27, sa.1, ss.89-116, 2016 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 1
  • Basım Tarihi: 2016
  • Dergi Adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.89-116
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Solar radiation incident on a surface varies randomly due to the dynamic characteristics of Earth's atmosphere. In order to plan, manage solar energy installations efficiently and to guide system designers, accurate solar radiation forecasting is essential. For this purpose, our study analyzes various time series and fuzzy integrated forecasting methods. Experimental tests have been carried out with both reference enrollment and solar radiation data. Statistical forecasting errors have been selected as performance measures.