Domain-Adapted Power Curve for Cross-Farm Applications
The wind energy industry relies on accurate power curve models to make power forecast, evaluate turbine performance, quantify upgrade, or support site-planning decisions. In this paper, we focus on site-planning power curves, i.e., we investigate how power curve models trained using turbine data on an operating wind farm can be transferred to a new, undeveloped farm. The traditional wisdom in the wind energy literature relies on distance, layout, or terrain characteristics for making cross-farm power curve transfer. Through the lens of domain adaptation, we propose a more reliable transfer learning approach for cross-farm power curve modeling. In the cross-farm applications, a domain is s...
| Authors | Ahmadreza Chokhachian, V. Roshan Joseph, Yu Ding |
|---|---|
| Primary category | stat.AP |
| Published | 22 July 2026 |
| Last updated at source | 22 July 2026 |
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