Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Türkisch-Deutsche Universität · Harran University · +7 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
207
total citations
- FWCI
- 163.56
- Percentile
- 100%
- References
- 48
Citations per year
Authors
6Topics & keywords
Topics
Keywords
- Wind power
- Wind speed
- Random forest
- Computer science
- Renewable energy
- Turbine
- Metric (unit)
- AdaBoost
UN Sustainable Development Goals
- Affordable and clean energy
No related works found for this paper.