Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893850211> ?p ?o ?g. }
- W2893850211 endingPage "234" @default.
- W2893850211 startingPage "223" @default.
- W2893850211 abstract "At present, the energy structure of China is shifting towards cleaner and lower amounts of carbon fuel, driven by environmental needs and technological advances. Nuclear energy, which is one of the major low-carbon resources, plays a key role in China's clean energy development. To formulate appropriate energy policies, it is necessary to conduct reliable forecasts. This paper discusses the nuclear energy consumption of China by means of a novel fractional grey model FAGMO(1,1,k). The fractional accumulated generating matrix is introduced to analyse the fractional grey model properties. Thereafter, the modelling procedures of the FAGMO(1,1,k) are presented in detail, along with the transforms of its optimal parameters. A stochastic testing scheme is provided to validate the accuracy and properties of the optimal parameters of the FAGMO(1,1,k). Finally, this model is used to forecast China's nuclear energy consumption and the results demonstrate that the FAGMO(1,1,k) model provides accurate prediction, outperforming other grey models." @default.
- W2893850211 created "2018-10-05" @default.
- W2893850211 creator A5007735063 @default.
- W2893850211 creator A5052886607 @default.
- W2893850211 creator A5070296642 @default.
- W2893850211 creator A5070541012 @default.
- W2893850211 creator A5074698054 @default.
- W2893850211 date "2018-12-01" @default.
- W2893850211 modified "2023-10-15" @default.
- W2893850211 title "Application of the novel fractional grey model FAGMO(1,1,k) to predict China's nuclear energy consumption" @default.
- W2893850211 cites W1471720126 @default.
- W2893850211 cites W1992665910 @default.
- W2893850211 cites W2013377700 @default.
- W2893850211 cites W2029624237 @default.
- W2893850211 cites W2036014202 @default.
- W2893850211 cites W2039109810 @default.
- W2893850211 cites W2039918975 @default.
- W2893850211 cites W2055761486 @default.
- W2893850211 cites W2067552154 @default.
- W2893850211 cites W2075165019 @default.
- W2893850211 cites W2083038452 @default.
- W2893850211 cites W2087120645 @default.
- W2893850211 cites W2087131890 @default.
- W2893850211 cites W2117016648 @default.
- W2893850211 cites W2154264388 @default.
- W2893850211 cites W2218802200 @default.
- W2893850211 cites W2472024243 @default.
- W2893850211 cites W2517772030 @default.
- W2893850211 cites W2522707780 @default.
- W2893850211 cites W2552617160 @default.
- W2893850211 cites W2560186224 @default.
- W2893850211 cites W2563893022 @default.
- W2893850211 cites W2588182180 @default.
- W2893850211 cites W2601502197 @default.
- W2893850211 cites W2602467808 @default.
- W2893850211 cites W2606233713 @default.
- W2893850211 cites W2724669167 @default.
- W2893850211 cites W2727360691 @default.
- W2893850211 cites W2755953898 @default.
- W2893850211 cites W2761305133 @default.
- W2893850211 cites W2769451506 @default.
- W2893850211 cites W2772406120 @default.
- W2893850211 cites W2790979288 @default.
- W2893850211 cites W2792214622 @default.
- W2893850211 cites W2792986592 @default.
- W2893850211 cites W2793017755 @default.
- W2893850211 cites W2796184593 @default.
- W2893850211 cites W2797455433 @default.
- W2893850211 cites W2804202111 @default.
- W2893850211 cites W2806999439 @default.
- W2893850211 cites W2807489375 @default.
- W2893850211 cites W2885199956 @default.
- W2893850211 cites W2887216976 @default.
- W2893850211 cites W2887719172 @default.
- W2893850211 cites W3099290845 @default.
- W2893850211 cites W774195980 @default.
- W2893850211 doi "https://doi.org/10.1016/j.energy.2018.09.155" @default.
- W2893850211 hasPublicationYear "2018" @default.
- W2893850211 type Work @default.
- W2893850211 sameAs 2893850211 @default.
- W2893850211 citedByCount "88" @default.
- W2893850211 countsByYear W28938502112019 @default.
- W2893850211 countsByYear W28938502112020 @default.
- W2893850211 countsByYear W28938502112021 @default.
- W2893850211 countsByYear W28938502112022 @default.
- W2893850211 countsByYear W28938502112023 @default.
- W2893850211 crossrefType "journal-article" @default.
- W2893850211 hasAuthorship W2893850211A5007735063 @default.
- W2893850211 hasAuthorship W2893850211A5052886607 @default.
- W2893850211 hasAuthorship W2893850211A5070296642 @default.
- W2893850211 hasAuthorship W2893850211A5070541012 @default.
- W2893850211 hasAuthorship W2893850211A5074698054 @default.
- W2893850211 hasBestOaLocation W28938502112 @default.
- W2893850211 hasConcept C105795698 @default.
- W2893850211 hasConcept C119599485 @default.
- W2893850211 hasConcept C126255220 @default.
- W2893850211 hasConcept C127413603 @default.
- W2893850211 hasConcept C127491075 @default.
- W2893850211 hasConcept C134560507 @default.
- W2893850211 hasConcept C144024400 @default.
- W2893850211 hasConcept C149782125 @default.
- W2893850211 hasConcept C162324750 @default.
- W2893850211 hasConcept C166957645 @default.
- W2893850211 hasConcept C186370098 @default.
- W2893850211 hasConcept C191935318 @default.
- W2893850211 hasConcept C205649164 @default.
- W2893850211 hasConcept C26517878 @default.
- W2893850211 hasConcept C2780165032 @default.
- W2893850211 hasConcept C30772137 @default.
- W2893850211 hasConcept C33923547 @default.
- W2893850211 hasConcept C36289849 @default.
- W2893850211 hasConcept C38652104 @default.
- W2893850211 hasConcept C39432304 @default.
- W2893850211 hasConcept C41008148 @default.
- W2893850211 hasConcept C42475967 @default.
- W2893850211 hasConceptScore W2893850211C105795698 @default.
- W2893850211 hasConceptScore W2893850211C119599485 @default.
- W2893850211 hasConceptScore W2893850211C126255220 @default.