Hybrid Fuzzy Time Series Methods Applied to Solar Radiation Forecasting

Olcan C., Mahmudov E.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, vol.27, no.1, pp.89-116, 2016 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 27 Issue: 1
  • Publication Date: 2016
  • Journal Name: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.89-116
  • Istanbul Technical University Affiliated: Yes

Abstract

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.