A Parameter Determination System for Wind Turbines Based On Naive Bayes Classification Algorithm


Colak I., DEMİRTAŞ M., Bal G., Kahraman H. T.

8th International Conference on Machine Learning and Applications, Florida, United States Of America, 13 - 15 December 2009, pp.611-616 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icmla.2009.60
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.611-616
  • Gazi University Affiliated: Yes

Abstract

Among the renewable energy types, wind energy gets popularity in these days. To install a new wind energy turbine, measurement and evaluation of the meteorological data are quite important. In this paper, a novel system is developed for the installation of wind turbines. Firstly, necessary data including the speed and the direction of wind, the solar insolation, the ultraviolet radiation and the rainfall are received from a meteorology station, and then data acquired are converted into useful information using a rule-based inference mechanism. Finally, the useful information obtained are evaluated in a Naive Bayes algorithm. The power and the size of wind turbine are determined automatically using data measured. Thus, some complicated calculations including more than parameters related to fields where the large-sized wind turbines will be installed can easily be accomplished by means of the powerful decision support system developed.