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20212023
most citedProbabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case

2 citations · 3 across the 4 of their papers we have counts for

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cs.LG2021

Detecting and interpreting faults in vulnerable power grids with machine learning

Odin Foldvik Eikeland, Inga Setså Holmstrand, Sigurd Bakkejord +2

Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the causes of interruptio…

physics.soc-ph2021

Uncovering contributing factors to interruptions in the power grid: An Arctic case

Odin Foldvik Eikeland, Filippo Maria Bianchi, Inga Setså Holmstrand +3

Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we focus on a specific pow…