Wind Generation Forecast With the Use of AI-Based Regression Methods

• Abstract:

  The topic of the paper is the presentation of the methodology and the results of forecasting energy generation by the wind turbine with the utilization of three regression methods: factorization machines, decision trees and random forests. The data coming from the wind farm in Turkey was first preprocessed to facilitate prediction task. The prediction of the eneregy production.
• Keywords:

  Forecasting; prediction; artificial intelligence; factorization machines; decision tress; random forests; wind energy production
• Download:

  IMEKO-TC10-2022-024.pdf
• DOI:

  tc10-2022.024

Event details: