FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2982559988> ?p ?o ?g. }

• W2982559988 abstract "Abstract Renewable energy is an attractive alternative source of energy to fossil fuels, as it can help prevent global warming and air pollution. Solar energy, one of the most promising renewable energy sources, can be converted into electricity using photovoltaic power generation systems. Anywhere on the Earth, solar irradiance generally fluctuates during the day but depends on atmospheric conditions. Thus, when a photovoltaic power generation system is connected to a conventional electricity network, predicting near-future global solar irradiance, especially its drastic increases and decreases, is critical to stabilize the network. In this research, a simple method utilizing artificial neural networks to predict large increases and decreases in global solar irradiance is developed. The red–blue ratio (RBR) values, which are extracted from a set of sampling points in images of the sky, as well as the corresponding global solar irradiance values, are used as the artificial neural network inputs. The direction of the movement of clouds is predicted using RBR data at the sampling points. Then, solar irradiance is predicted using the RBR values along the axis closest to the predicted cloud movement direction and the corresponding solar irradiance measurements. The proposed methodology is able to predict both large increases and decreases in solar irradiance greater than 50 through 100 W/m2 1 min in advance with a 40% prediction error. A significant reduction in computational effort is achieved compared to existing sky image-based methodologies using limited sky image data." @default.
• W2982559988 created "2019-11-08" @default.
• W2982559988 creator A5036692247 @default.
• W2982559988 creator A5054708724 @default.
• W2982559988 creator A5072488226 @default.
• W2982559988 date "2019-11-26" @default.
• W2982559988 modified "2023-09-25" @default.
• W2982559988 title "Solar Irradiance Fluctuation Prediction Methodology Using Artificial Neural Networks" @default.
• W2982559988 cites W1646413597 @default.
• W2982559988 cites W1980958990 @default.
• W2982559988 cites W1987446684 @default.
• W2982559988 cites W1989938710 @default.
• W2982559988 cites W1992462306 @default.
• W2982559988 cites W1996372766 @default.
• W2982559988 cites W2001396749 @default.
• W2982559988 cites W2031640526 @default.
• W2982559988 cites W2031958023 @default.
• W2982559988 cites W2042511026 @default.
• W2982559988 cites W2043172510 @default.
• W2982559988 cites W2049329129 @default.
• W2982559988 cites W2051403129 @default.
• W2982559988 cites W2052603148 @default.
• W2982559988 cites W2062583931 @default.
• W2982559988 cites W2067019903 @default.
• W2982559988 cites W2070826863 @default.
• W2982559988 cites W2072487187 @default.
• W2982559988 cites W2075152505 @default.
• W2982559988 cites W2078422764 @default.
• W2982559988 cites W2079547580 @default.
• W2982559988 cites W2083397465 @default.
• W2982559988 cites W2084691488 @default.
• W2982559988 cites W2098554604 @default.
• W2982559988 cites W2102059996 @default.
• W2982559988 cites W2151998490 @default.
• W2982559988 cites W2155971453 @default.
• W2982559988 cites W2346227481 @default.
• W2982559988 cites W2554652823 @default.
• W2982559988 cites W2566873232 @default.
• W2982559988 cites W2604835210 @default.
• W2982559988 cites W2610431183 @default.
• W2982559988 cites W2610640432 @default.
• W2982559988 cites W2611561672 @default.
• W2982559988 cites W2612081998 @default.
• W2982559988 cites W2898399263 @default.
• W2982559988 cites W2901076696 @default.
• W2982559988 doi "https://doi.org/10.1115/1.4045315" @default.
• W2982559988 hasPublicationYear "2019" @default.
• W2982559988 type Work @default.
• W2982559988 sameAs 2982559988 @default.
• W2982559988 citedByCount "5" @default.
• W2982559988 countsByYear W29825599882020 @default.
• W2982559988 countsByYear W29825599882021 @default.
• W2982559988 countsByYear W29825599882022 @default.
• W2982559988 crossrefType "journal-article" @default.
• W2982559988 hasAuthorship W2982559988A5036692247 @default.
• W2982559988 hasAuthorship W2982559988A5054708724 @default.
• W2982559988 hasAuthorship W2982559988A5072488226 @default.
• W2982559988 hasConcept C119599485 @default.
• W2982559988 hasConcept C120665830 @default.
• W2982559988 hasConcept C121332964 @default.
• W2982559988 hasConcept C127413603 @default.
• W2982559988 hasConcept C153294291 @default.
• W2982559988 hasConcept C154945302 @default.
• W2982559988 hasConcept C188573790 @default.
• W2982559988 hasConcept C205649164 @default.
• W2982559988 hasConcept C39432304 @default.
• W2982559988 hasConcept C41008148 @default.
• W2982559988 hasConcept C41291067 @default.
• W2982559988 hasConcept C46423501 @default.
• W2982559988 hasConcept C50644808 @default.
• W2982559988 hasConcept C541104983 @default.
• W2982559988 hasConcept C62649853 @default.
• W2982559988 hasConcept C73329638 @default.
• W2982559988 hasConcept C9695528 @default.
• W2982559988 hasConceptScore W2982559988C119599485 @default.
• W2982559988 hasConceptScore W2982559988C120665830 @default.
• W2982559988 hasConceptScore W2982559988C121332964 @default.
• W2982559988 hasConceptScore W2982559988C127413603 @default.
• W2982559988 hasConceptScore W2982559988C153294291 @default.
• W2982559988 hasConceptScore W2982559988C154945302 @default.
• W2982559988 hasConceptScore W2982559988C188573790 @default.
• W2982559988 hasConceptScore W2982559988C205649164 @default.
• W2982559988 hasConceptScore W2982559988C39432304 @default.
• W2982559988 hasConceptScore W2982559988C41008148 @default.
• W2982559988 hasConceptScore W2982559988C41291067 @default.
• W2982559988 hasConceptScore W2982559988C46423501 @default.
• W2982559988 hasConceptScore W2982559988C50644808 @default.
• W2982559988 hasConceptScore W2982559988C541104983 @default.
• W2982559988 hasConceptScore W2982559988C62649853 @default.
• W2982559988 hasConceptScore W2982559988C73329638 @default.
• W2982559988 hasConceptScore W2982559988C9695528 @default.
• W2982559988 hasIssue "3" @default.
• W2982559988 hasLocation W29825599881 @default.
• W2982559988 hasOpenAccess W2982559988 @default.
• W2982559988 hasPrimaryLocation W29825599881 @default.
• W2982559988 hasRelatedWork W1894821804 @default.
• W2982559988 hasRelatedWork W1963916813 @default.
• W2982559988 hasRelatedWork W1968153769 @default.
• W2982559988 hasRelatedWork W2057390829 @default.
• W2982559988 hasRelatedWork W2086925840 @default.

• next