Hyper Localized Weather Forecasting For Energy Markets

via “global weather prediction via neural operator learning”

* ⭐ 05/2022: [ColabFold: making protein folding accessible to all (ColabFold)](https://www.nature.com/articles/s41592-022-01488-1)

Unique: Uses Fourier Neural Operator (FNO) architecture operating in spectral space via FFT rather than convolutional or recurrent approaches; learns global atmospheric dynamics as learned linear operators in frequency domain, enabling O(n log n) complexity and capturing long-range dependencies without stacking many layers. Trained on 39 years of ERA5 reanalysis at 0.25° resolution, achieving competitive skill with traditional numerical weather prediction at 1000x faster inference.