FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217232257> ?p ?o ?g. }

• W3217232257 endingPage "111909" @default.
• W3217232257 startingPage "111909" @default.
• W3217232257 abstract "Ensemble weather forecasts are often found to be under-dispersed and biased. Post-processing using spatio-temporal information is, therefore, required if one wishes to improve the quality of the raw forecasts. It is on this account that the present article generates and post-processes ensemble solar forecasts using satellite-derived irradiance not only from the focal pixel but also from the neighboring pixels. The ensemble forecasting model of choice is a dropout neural network with Monte Carlo sampling, eliminating the need for training multiple models and ensuring parameter diversity in ensemble forecasting. Subsequently, ensemble forecasts are post-processed using both parametric and nonparametric post-processing techniques, such as nonhomogenous regression, generalized additive model, linear quantile regression, or quantile random forests. The proposed forecasting framework is demonstrated and verified using four years of half-hourly data, at seven locations in the United States. Continuous ranked probability skill scores as high as 66% have been obtained when comparing the proposed method to a conditional climatology reference. The content of this article may be useful to a wide range of stakeholders in the power system, including but not limited to: independent system operators, who aim at efficiently maintaining the system’s reliability; utility- and distributed-scale PV plant owners, who wish to avoid penalties for power deviation between the scheduled and real-time delivery; and forecast retailers, who can benefit from selling solar forecasts of higher quality." @default.
• W3217232257 created "2021-12-06" @default.
• W3217232257 creator A5003011137 @default.
• W3217232257 creator A5016960268 @default.
• W3217232257 creator A5066823873 @default.
• W3217232257 date "2022-03-01" @default.
• W3217232257 modified "2023-10-02" @default.
• W3217232257 title "Ensemble solar forecasting and post-processing using dropout neural network and information from neighboring satellite pixels" @default.
• W3217232257 cites W1790870804 @default.
• W3217232257 cites W1950840612 @default.
• W3217232257 cites W1976255336 @default.
• W3217232257 cites W2045792861 @default.
• W3217232257 cites W2046278200 @default.
• W3217232257 cites W2047039932 @default.
• W3217232257 cites W2076897000 @default.
• W3217232257 cites W2130715829 @default.
• W3217232257 cites W2131862161 @default.
• W3217232257 cites W2621900912 @default.
• W3217232257 cites W2622052728 @default.
• W3217232257 cites W2772167967 @default.
• W3217232257 cites W2782500509 @default.
• W3217232257 cites W2792921542 @default.
• W3217232257 cites W2801658026 @default.
• W3217232257 cites W2803408063 @default.
• W3217232257 cites W2810202692 @default.
• W3217232257 cites W2887525857 @default.
• W3217232257 cites W2889496066 @default.
• W3217232257 cites W2889505895 @default.
• W3217232257 cites W2900636989 @default.
• W3217232257 cites W2911192133 @default.
• W3217232257 cites W2911964244 @default.
• W3217232257 cites W2915081556 @default.
• W3217232257 cites W2933151916 @default.
• W3217232257 cites W2936183069 @default.
• W3217232257 cites W2936521195 @default.
• W3217232257 cites W2936870806 @default.
• W3217232257 cites W2941116662 @default.
• W3217232257 cites W2943358841 @default.
• W3217232257 cites W2947936356 @default.
• W3217232257 cites W2954591523 @default.
• W3217232257 cites W2965612495 @default.
• W3217232257 cites W2971940059 @default.
• W3217232257 cites W2972321959 @default.
• W3217232257 cites W2987052531 @default.
• W3217232257 cites W2990865816 @default.
• W3217232257 cites W3013083778 @default.
• W3217232257 cites W3019963868 @default.
• W3217232257 cites W3020073899 @default.
• W3217232257 cites W3022937588 @default.
• W3217232257 cites W3024158773 @default.
• W3217232257 cites W3024509612 @default.
• W3217232257 cites W3024537702 @default.
• W3217232257 cites W3025325835 @default.
• W3217232257 cites W3049740698 @default.
• W3217232257 cites W3055183854 @default.
• W3217232257 cites W3089152018 @default.
• W3217232257 cites W3099896071 @default.
• W3217232257 cites W3108051726 @default.
• W3217232257 cites W3123453576 @default.
• W3217232257 cites W3124627370 @default.
• W3217232257 cites W4213041519 @default.
• W3217232257 doi "https://doi.org/10.1016/j.rser.2021.111909" @default.
• W3217232257 hasPublicationYear "2022" @default.
• W3217232257 type Work @default.
• W3217232257 sameAs 3217232257 @default.
• W3217232257 citedByCount "8" @default.
• W3217232257 countsByYear W32172322572022 @default.
• W3217232257 countsByYear W32172322572023 @default.
• W3217232257 crossrefType "journal-article" @default.
• W3217232257 hasAuthorship W3217232257A5003011137 @default.
• W3217232257 hasAuthorship W3217232257A5016960268 @default.
• W3217232257 hasAuthorship W3217232257A5066823873 @default.
• W3217232257 hasConcept C102366305 @default.
• W3217232257 hasConcept C105795698 @default.
• W3217232257 hasConcept C117251300 @default.
• W3217232257 hasConcept C118671147 @default.
• W3217232257 hasConcept C119857082 @default.
• W3217232257 hasConcept C119898033 @default.
• W3217232257 hasConcept C124101348 @default.
• W3217232257 hasConcept C127413603 @default.
• W3217232257 hasConcept C146978453 @default.
• W3217232257 hasConcept C149782125 @default.
• W3217232257 hasConcept C154945302 @default.
• W3217232257 hasConcept C19269812 @default.
• W3217232257 hasConcept C19499675 @default.
• W3217232257 hasConcept C2776145597 @default.
• W3217232257 hasConcept C33923547 @default.
• W3217232257 hasConcept C41008148 @default.
• W3217232257 hasConcept C50644808 @default.
• W3217232257 hasConceptScore W3217232257C102366305 @default.
• W3217232257 hasConceptScore W3217232257C105795698 @default.
• W3217232257 hasConceptScore W3217232257C117251300 @default.
• W3217232257 hasConceptScore W3217232257C118671147 @default.
• W3217232257 hasConceptScore W3217232257C119857082 @default.
• W3217232257 hasConceptScore W3217232257C119898033 @default.
• W3217232257 hasConceptScore W3217232257C124101348 @default.
• W3217232257 hasConceptScore W3217232257C127413603 @default.
• W3217232257 hasConceptScore W3217232257C146978453 @default.

• next