Wind Generation Forecast With the Use of AI-Based Regression Methods |
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| 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
- Download:
- IMEKO-TC10-2022-024.pdf
- DOI:
- 10.21014/tc10-2022.024
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Conference 2022
- Title:
18th IMEKO TC10 Conference "Measurement for Diagnostics, Optimisation and Control to Support Sustainability and Resilience"
- Place:
- Warsaw, POLAND
- Time:
- 26 September 2022 - 27 September 2022