30 citations · 39 across the 4 of their papers we have counts for
4 papers
Geographic variability in reanalysis wind speed biases: A high-resolution bias correction approach for UK wind energy
Yan Wang, Simon C. Warder, Ellyess F. Benmoufok +4
Reanalysis datasets have become indispensable tools for wind resource assessment and wind power simulation, offering long-term and spatially continuous wind fields across large reg…
Mapping global offshore wind wake losses, layout optimisation potential, and climate change effects
Simon C Warder, Matthew D Piggott
This study assesses global offshore wind energy resources, wake-induced losses, array layout optimisation potential and climate change impacts. Global offshore ambient potential is…
The future of offshore wind power production: wake and climate impacts
Simon C Warder, Matthew D Piggott
Rapid deployment of offshore wind is expected within the coming decades to help meet climate goals. With offshore wind turbine lifetimes of 25-30 years, and new offshore leases spa…
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…