5 citations · 6 across the 7 of their papers we have counts for
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cs.CY2024★ 1 cited
Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models
Raffael Theiler, Leandro Von Krannichfeldt, Giovanni Sansavini +2
Accurate and reliable energy forecasting is essential for power grid operators who strive to minimize extreme forecasting errors that pose significant operational challenges and in…
cs.LG2024★ 5 cited
Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity
Raffael Theiler, Olga Fink
Pumped-storage hydropower plants (PSH) actively participate in grid power-frequency control and therefore often operate under dynamic conditions, which results in rapidly varying s…