8 citations · 17 across the 4 of their papers we have counts for
4 papers
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…
An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns
Mariana C A Clare, Simon C Warder, Robert Neal +2
Wind energy resource assessment typically requires numerical models, but such models are too computationally intensive to consider multi-year timescales. Increasingly, unsupervised…
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation
Joseph G. Wallwork, Jingyi Lu, Mingrui Zhang +1
Given a partial differential equation (PDE), goal-oriented error estimation allows us to understand how errors in a diagnostic quantity of interest (QoI), or goal, occur and accumu…
Hybrid global-local optimisation algorithms for the layout design of tidal turbine arrays
George L. Barnett, Simon W. Funke, Matthew D. Piggott
Tidal stream power generation represents a promising source of renewable energy. In order to extract an economically useful amount of power, tens to hundreds of tidal turbines need…