Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves
Accurate modeling of wind turbine power curves is crucial for optimal wind farm operation. Nearly all existing power curve models focus on temporal variables such as wind speed and temperature while overlooking the influence of terrain covariates, which governs inflow wind conditions and thus also affects wind power production. This paper proposes a nonparametric spatio-temporal Gaussian process model that integrates temporal environmental covariates with spatial terrain features. The model falls in the category of spatial-temporal Gaussian process models with data on a grid. The challenge to be addressed is that the spatio-temporal modeling require certain temporal alignment among the da...
| Authors | Ahmadreza Chokhachian, V. Roshan Joseph, Yu Ding |
|---|---|
| Primary category | stat.AP |
| Published | 30 June 2026 |
| Last updated at source | 30 June 2026 |
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