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

Adrian Bilski

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

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IMEKO-TC10-2022-024.pdf

DOI

10.21014/tc10-2022.024

IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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