Applying the Meta-Heuristic Prediction Algorithm for Modeling Power Density in Wind Power Plant

KAHRAMAN H. T., Ayaz M., Colak I., BAYINDIR R.

15th IEEE International Conference on Machine Learning and Applications (ICMLA), California, United States Of America, 18 - 20 December 2016, pp.447-451 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/icmla.2016.184
  • City: California
  • Country: United States Of America
  • Page Numbers: pp.447-451
  • Keywords: Meta-heuristic prediction algorithm, power density, wind power plant
  • Karadeniz Technical University Affiliated: Yes

Abstract

In this paper, a robust artificial intelligence (AI) algorithm is applied to overcome challenges at power density prediction especially at the installation process of wind power plant. This algorithm also explores relationships between the meteorological parameters and power density. Importance degree of parameters on power density is converted numerical weighting values independently from each other. Thus, the effects of the wind speed, the wind direction, the temperature, the damp, the pressure on power density could be modelled. Besides, experimental study shows that the prediction accuracy and stability of the applied method superior than traditional AI-based techniques.