most citedProbabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case

Odin Foldvik Eikeland, Finn Dag Hovem, Tom Eirik Olsen +2

The energy market relies on forecasting capabilities of both demand and power generation that need to be kept in dynamic balance. Today, when it comes to renewable energy generatio…