# On Additive Gaussian Processes for Wind Farm Power Prediction

arXiv: https://arxiv.org/abs/2603.18281 · HTML: https://mlsanity.com/paper/2603.18281/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 18 Mar 2026.

## Abstract (arXiv)

Population-based Structural Health Monitoring (PBSHM) aims to share information between similar machines or structures. This paper takes a population-level perspective, exploring the use of additive Gaussian processes to reveal variations in turbine-specific and farm-level power models over a collected wind farm dataset. The predictions illustrate patterns in wind farm power generation, which follow intuition and should enable more informed control and decision-making.