Determining suitability of locations for installation of solar power station based on probabilistic inference
9th International Conference on Machine Learning and Applications, ICMLA 2010, Washington, Amerika Birleşik Devletleri, 12 - 14 Aralık 2010, ss.714-719, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/icmla.2010.169
- Basıldığı Şehir: Washington
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.714-719
- Anahtar Kelimeler: Installation of solar power stations, Meteorological data, Naïve Bayes classification, Rule based inference, Solar energy
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
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.