DocumentCode
2455106
Title
Determining Suitability of Locations for Installation of Solar Power Station Based on Probabilistic Inference
Author
Colak, Ilhami ; Sagiroglu, Seref ; Demirtas, Mehmet ; Kahraman, Hamdi Tolga
Author_Institution
Dept. of Electr. & Electron. Eng., Gazi Univ., Ankara, Turkey
fYear
2010
fDate
12-14 Dec. 2010
Firstpage
714
Lastpage
719
Abstract
This paper presents a novel system is to develop to determine the suitability of a location for installation of solar power stations. Necessary data including speed and direction of wind, solar radiation and rainfall are received from a meteorology station, and data acquired are then converted to the labels. Finally, the labels are evaluated in a Naïve Bayes algorithm to determine the suitability of the location for the installation and axial structure of a Solar Power Plant. This helps to determine complicated calculations by means of the support system developed.
Keywords
Bayes methods; probability; solar power stations; axial structure; meteorology station; naive Bayes algorithm; probabilistic inference; rainfall; solar power plant; solar power stations; solar radiation; support system; Classification algorithms; Equations; Power generation; Solar energy; Solar radiation; Strontium; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4244-9211-4
Type
conf
DOI
10.1109/ICMLA.2010.169
Filename
5708910
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