30 citations · 60 across the 9 of their papers we have counts for
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cs.LG2023
Learning to Optimise Wind Farms with Graph Transformers
Siyi Li, Arnaud Robert, A. Aldo Faisal +1
This work proposes a novel data-driven model capable of providing accurate predictions for the power generation of all wind turbines in wind farms of arbitrary layout, yaw angle co…
cs.LG2023★ 3 cited
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models
Sokratis Anagnostopoulos, Jens Bauer, Mariana C. A. Clare +1
Wind farm modelling has been an area of rapidly increasing interest with numerous analytical as well as computational-based approaches developed to extend the margins of wind farm…