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
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;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-9211-4
DOI :
10.1109/ICMLA.2010.169
