9th International Conference on Machine Learning and Applications, ICMLA 2010, Washington, Amerika Birleşik Devletleri, 12 - 14 Aralık 2010, ss.714-719
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. © 2010 IEEE.