48 citations · 50 across the 2 of their papers we have counts for
2 papers
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…
astro-ph.CO2014★ 48 cited
Improving the modelling of redshift-space distortions: I. A bivariate Gaussian description for the galaxy pairwise velocity distributions
Davide Bianchi, Matteo Chiesa, Luigi Guzzo
As a step towards a more accurate modelling of redshift-space distortions in galaxy surveys, we develop a general description of the probability distribution function of galaxy pai…