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

Copy For Citation

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

ENERGY CONVERSION AND MANAGEMENT, vol.65, pp.185-197, 2013 (SCI-Expanded)

Publication Type: Article / Article
Volume: 65
Publication Date: 2013
Doi Number: 10.1016/j.enconman.2012.07.011
Journal Name: ENERGY CONVERSION AND MANAGEMENT
Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Page Numbers: pp.185-197
Keywords: 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 University Affiliated: Yes

Abstract

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.