Nonparametric density estimation for wind speed data: Seferihisar, Turkey

GÜRLER S., HÜDAVERDİ B., Ozler B. S.

ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH, cilt.27, sa.1, ss.55-62, 2011 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 1
  • Basım Tarihi: 2011
  • Dergi Adı: ENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.55-62
  • Anahtar Kelimeler: Wind speed distribution, Kernel density estimation, Seferihisar, WEIBULL PARAMETERS, RENEWABLE ENERGY
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Successful strategies for determining wind characteristics require statistical analysis and decisions. We might wish to determine the level of power density, the properties of wind speed or the optimal capacity of wind powerhouse to construct a system. Parametric models involving unknown parameters are often used to answer such questions. In common with other problems in statistical modeling, some applications have difficulties in fitting a parametric model for their lack of fit. In this study, we propose the use of kernel density estimation as a nonparametric approach for improving model fitting when the correct model is rarely known. Statistical analysis of hourly measured wind speed data of Seferihisar in Turkey is given by adopting this approach.