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most citedSpatio-temporal graph neural networks for multi-site PV power forecasting

260 citations · 261 across the 2 of their papers we have counts for

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cs.LG2026

PING: physics informed graph neural network for advection-diffusion processes with applications to solar power forecasting

Jelena Simeunović, Baptiste Schubnel, Pierre-Jean Alet +2

Advection-diffusion plays an essential role in transport phenomena such as atmospheric and cloud dynamics. Improved forecasting of cloud motion, in turn, enhances solar power produ…