Estimation of Wind Turbine Energy Production Value by Using Machine Learning Algorithms and Development of Implementation Program

AKSOY B., SELBAŞ R.

Energy Sources, Part A: Recovery, Utilization and Environmental Effects, cilt.43, sa.6, ss.692-704, 2021 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 43 Sayı: 6
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1080/15567036.2019.1631410
  • Dergi Adı: Energy Sources, Part A: Recovery, Utilization and Environmental Effects
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, CAB Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Greenfile, INSPEC, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.692-704
  • Anahtar Kelimeler: data analysis, energy, machine learning algorithms, renewable energy, Wind turbine
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Evet

Özet

In recent years, analyzing the data gathered during production process of the energy has become an important issue in the wind energy sector in order to increase the efficiency of the produced energy. This study estimated the produced energy value by using machine learning algorithms depending on the temperature, wind speed and direction values gathered from the wind turbine in 2015. A mathematical equation which correctly estimates the energy production value by 90% has been obtained. A computer program was developed for other users to see the results of this mathematical equation.