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pro vyhledávání: '"Løland, Anders"'
We give a review of some recent developments in embeddings of time series and dynamic networks. We start out with traditional principal components and then look at extensions to dynamic factor models for time series. Unlike principal components for t
Externí odkaz:
http://arxiv.org/abs/2212.08358
We introduce MCCE: Monte Carlo sampling of valid and realistic Counterfactual Explanations for tabular data, a novel counterfactual explanation method that generates on-manifold, actionable and valid counterfactuals by modeling the joint distribution
Externí odkaz:
http://arxiv.org/abs/2111.09790
There has been an intense recent activity in embedding of very high dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We survey this activity in four parts. In the first part we cover nonlinear
Externí odkaz:
http://arxiv.org/abs/2106.01858
The original development of Shapley values for prediction explanation relied on the assumption that the features being described were independent. If the features in reality are dependent this may lead to incorrect explanations. Hence, there have rec
Externí odkaz:
http://arxiv.org/abs/2102.06416
Explaining complex or seemingly simple machine learning models is an important practical problem. We want to explain individual predictions from a complex machine learning model by learning simple, interpretable explanations. Shapley values is a game
Externí odkaz:
http://arxiv.org/abs/1903.10464
Renewable energy sources provide a constantly increasing contribution to the total energy production worldwide. However, the power generation from these sources is highly variable due to their dependence on meteorological conditions. Accurate forecas
Externí odkaz:
http://arxiv.org/abs/1903.01186
We propose a fully probabilistic prediction model for spatially aggregated solar photovoltaic (PV) power production at an hourly time scale with lead times up to several days using weather forecasts from numerical weather prediction systems as covari
Externí odkaz:
http://arxiv.org/abs/1903.01188
Autor:
Steinbakk, Gunnhildur H., Lenkoski, Alex, Huseby, Ragnar Bang, Løland, Anders, Øigård, Tor Arne
Accurate forecasts of electricity spot prices are essential to the daily operational and planning decisions made by power producers and distributors. Typically, point forecasts of these quantities suffice, particularly in the Nord Pool market where t
Externí odkaz:
http://arxiv.org/abs/1812.02433
Akademický článek
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Publikováno v:
In Artificial Intelligence September 2021 298
