Probabilistic forecasting - Open Access .click

PLoS One, 2020
Throughout the last decade, the so-called replication crisis has stimulated many researchers to conduct large-scale replication projects. With data from four of these projects, we computed probabilistic forecasts of the replication outcomes, which we then evaluated regarding discrimination, calibration and sharpness.
Pawel S, Held L.
europepmc +8 more sources

Probabilistic Solar Forecasting Using Quantile Regression Models

Energies, 2017
In this work, we assess the performance of three probabilistic models for intra-day solar forecasting. More precisely, a linear quantile regression method is used to build three models for generating 1 h–6 h-ahead probabilistic forecasts. Our approach is
Mathieu David, Philippe Lauret, Hugo Pedro +2 more
exaly +3 more sources

fos: computer and information sciences
forecasting
machine learning

13. climate action
deep learning
applications stat.ap

quantile regression
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