A data mining approach: Analyzing wind speed and insolation period data in Turkey for installations of wind and solar power plants

Colak, Ilhami; SAĞIROĞLU, ŞEREF; DEMİRTAŞ, MEHMET; YEŞİLBUDAK, MEHMET

doi:10.1016/j.enconman.2012.07.011

A data mining approach: Analyzing wind speed and insolation period data in Turkey for installations of wind and solar power plants

Atıf İçin Kopyala

Colak I., SAĞIROĞLU Ş., DEMİRTAŞ M., YEŞİLBUDAK M.

ENERGY CONVERSION AND MANAGEMENT, cilt.65, ss.185-197, 2013 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 65
Basım Tarihi: 2013
Doi Numarası: 10.1016/j.enconman.2012.07.011
Dergi Adı: ENERGY CONVERSION AND MANAGEMENT
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.185-197
Anahtar Kelimeler: Data mining, Wind speed, Insolation period, Similarity Feasibility and numerical analyses, Wind and solar power plant installations, ELECTRICITY-GENERATION, ENERGY, REGION, RADIATION, POLICIES, SYSTEMS, WATER
Gazi Üniversitesi Adresli: Evet

Özet

Wind and solar power plant installations have been recently increased rapidly with respect to the depletion of fossil-based fuels all over the world. Due to stochastic nature of meteorological conditions, wind and solar energies have a non-schedulable nature and they require several installation analyses to determine the location and the capacities of wind and solar power to be produced.