3 papers
stat.AP2026
Domain-Adapted Power Curve for Cross-Farm Applications
Ahmadreza Chokhachian, V. Roshan Joseph, Yu Ding
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 p…
stat.AP2026
Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves
Ahmadreza Chokhachian, V. Roshan Joseph, Yu Ding
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…
cs.LG2025
Fast Gaussian Process Approximations for Autocorrelated Data
Ahmadreza Chokhachian, Matthias Katzfuss, Yu Ding
This paper is concerned with the problem of how to speed up computation for Gaussian process models trained on autocorrelated data. The Gaussian process model is a powerful tool co…