164 citations · 236 across the 6 of their papers we have counts for
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stat.ML2023★ 1 cited
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…
stat.ML2021★ 59 cited
Combining distribution-based neural networks to predict weather forecast probabilities
Mariana Clare, Omar Jamil, Cyril Morcrette
The success of deep learning techniques over the last decades has opened up a new avenue of research for weather forecasting. Here, we take the novel approach of using a neural net…