AI RESEARCH
On Additive Gaussian Processes for Wind Farm Power Prediction
arXiv CS.LG
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ArXi:2603.18281v1 Announce Type: new 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 informed control and decision-making.