FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383368965> ?p ?o ?g. }

• W4383368965 endingPage "118993" @default.
• W4383368965 startingPage "118993" @default.
• W4383368965 abstract "This work is concerned with optimally combining quantiles of several post-processed versions of ensemble solar forecasts, which is new in this field. Numerical weather prediction (NWP) serves grid integration of solar energy by issuing dynamical ensemble irradiance forecasts. However, these ensemble members often suffer from under-dispersion, which motivates statistical calibration via quantile regression (QR) or ensemble model output statistics (EMOS). Given the numerous variants of QR and EMOS, it is generally unclear which variant offers the best performance under what situation, which further motivates combining quantile forecasts. A framework for combining solar forecasts in the form of quantiles is proposed, and a constrained quantile regression averaging scheme is used to exemplify the framework. Using the strictly proper pinball loss, ensemble irradiance forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) Ensemble Prediction System are first post-processed using five QR variants and five EMOS variants, and then combined through a linear program. It is found that combining quantiles is an effective strategy that can further improve the calibrated ECMWF forecasts across all locations herein considered." @default.
• W4383368965 created "2023-07-07" @default.
• W4383368965 creator A5003011137 @default.
• W4383368965 creator A5010915099 @default.
• W4383368965 creator A5088751709 @default.
• W4383368965 date "2023-10-01" @default.
• W4383368965 modified "2023-10-17" @default.
• W4383368965 title "Combining quantiles of calibrated solar forecasts from ensemble numerical weather prediction" @default.
• W4383368965 cites W1789155650 @default.
• W4383368965 cites W1848580231 @default.
• W4383368965 cites W1976255336 @default.
• W4383368965 cites W1997547860 @default.
• W4383368965 cites W2004803051 @default.
• W4383368965 cites W2025720061 @default.
• W4383368965 cites W2062102668 @default.
• W4383368965 cites W2065089656 @default.
• W4383368965 cites W2124270163 @default.
• W4383368965 cites W2130715829 @default.
• W4383368965 cites W2158840489 @default.
• W4383368965 cites W2159188796 @default.
• W4383368965 cites W2167477261 @default.
• W4383368965 cites W2197846720 @default.
• W4383368965 cites W2275088575 @default.
• W4383368965 cites W2284910918 @default.
• W4383368965 cites W2296277783 @default.
• W4383368965 cites W2344725524 @default.
• W4383368965 cites W2763186835 @default.
• W4383368965 cites W2801658026 @default.
• W4383368965 cites W2811402028 @default.
• W4383368965 cites W2889496066 @default.
• W4383368965 cites W2889505895 @default.
• W4383368965 cites W2895438781 @default.
• W4383368965 cites W2933151916 @default.
• W4383368965 cites W2936183069 @default.
• W4383368965 cites W2948688745 @default.
• W4383368965 cites W2963188571 @default.
• W4383368965 cites W2964208955 @default.
• W4383368965 cites W2972425174 @default.
• W4383368965 cites W2987052531 @default.
• W4383368965 cites W3003870887 @default.
• W4383368965 cites W3022700314 @default.
• W4383368965 cites W3024158773 @default.
• W4383368965 cites W3034501194 @default.
• W4383368965 cites W3036178455 @default.
• W4383368965 cites W3066260713 @default.
• W4383368965 cites W3122398144 @default.
• W4383368965 cites W3122515788 @default.
• W4383368965 cites W3124627370 @default.
• W4383368965 cites W3125188740 @default.
• W4383368965 cites W3125613485 @default.
• W4383368965 cites W3185236800 @default.
• W4383368965 cites W3209535324 @default.
• W4383368965 cites W3217232257 @default.
• W4383368965 cites W4220887363 @default.
• W4383368965 cites W4239414618 @default.
• W4383368965 cites W4291121574 @default.
• W4383368965 cites W4308016146 @default.
• W4383368965 cites W4309030289 @default.
• W4383368965 cites W4320521738 @default.
• W4383368965 doi "https://doi.org/10.1016/j.renene.2023.118993" @default.
• W4383368965 hasPublicationYear "2023" @default.
• W4383368965 type Work @default.
• W4383368965 citedByCount "0" @default.
• W4383368965 crossrefType "journal-article" @default.
• W4383368965 hasAuthorship W4383368965A5003011137 @default.
• W4383368965 hasAuthorship W4383368965A5010915099 @default.
• W4383368965 hasAuthorship W4383368965A5088751709 @default.
• W4383368965 hasConcept C105795698 @default.
• W4383368965 hasConcept C118671147 @default.
• W4383368965 hasConcept C119857082 @default.
• W4383368965 hasConcept C119898033 @default.
• W4383368965 hasConcept C147947694 @default.
• W4383368965 hasConcept C149782125 @default.
• W4383368965 hasConcept C153294291 @default.
• W4383368965 hasConcept C165838908 @default.
• W4383368965 hasConcept C205649164 @default.
• W4383368965 hasConcept C33923547 @default.
• W4383368965 hasConcept C39432304 @default.
• W4383368965 hasConcept C41008148 @default.
• W4383368965 hasConcept C63817138 @default.
• W4383368965 hasConcept C9695528 @default.
• W4383368965 hasConceptScore W4383368965C105795698 @default.
• W4383368965 hasConceptScore W4383368965C118671147 @default.
• W4383368965 hasConceptScore W4383368965C119857082 @default.
• W4383368965 hasConceptScore W4383368965C119898033 @default.
• W4383368965 hasConceptScore W4383368965C147947694 @default.
• W4383368965 hasConceptScore W4383368965C149782125 @default.
• W4383368965 hasConceptScore W4383368965C153294291 @default.
• W4383368965 hasConceptScore W4383368965C165838908 @default.
• W4383368965 hasConceptScore W4383368965C205649164 @default.
• W4383368965 hasConceptScore W4383368965C33923547 @default.
• W4383368965 hasConceptScore W4383368965C39432304 @default.
• W4383368965 hasConceptScore W4383368965C41008148 @default.
• W4383368965 hasConceptScore W4383368965C63817138 @default.
• W4383368965 hasConceptScore W4383368965C9695528 @default.
• W4383368965 hasFunder F4320331771 @default.
• W4383368965 hasLocation W43833689651 @default.
• W4383368965 hasOpenAccess W4383368965 @default.

• next