Modeling load forecast uncertainty using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106732
Abstract: Abstract The integration of distributed energy resources (DER) increase the uncertainty of the load. Probabilistic load forecasting (PLF) is able to model these uncertainties in the form of quantile, interval, or density. However, the uncertainties… read more here.
Keywords: generative adversarial; uncertainty; forecast uncertainty; load forecast ... See more keywords
Quasi ex-ante inflation forecast uncertainty
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DOI: 10.1016/j.ijforecast.2019.03.002
Abstract: We propose a measure of the effects of monetary policy based on an analysis of the distribution of the ex-post inflation forecast uncertainty. We argue that the difference between the distributions of the ex-ante and… read more here.
Keywords: monetary policy; uncertainty; inflation forecast; policy ... See more keywords