Matches in SemOpenAlex for { <https://semopenalex.org/work/W2475057352> ?p ?o ?g. }
- W2475057352 endingPage "103" @default.
- W2475057352 startingPage "94" @default.
- W2475057352 abstract "Owing to increasing photovoltaic (PV) systems installation, especially large-scale ground-mounted PV plants, the role of PV power generation is gradually changing from a supplementary energy to an alternative energy resource, with respect to conventional power generation. It is important and necessary to evaluate the capacity value of PV systems. This paper introduces an artificial neural network-based empirical model to evaluate a PV plant's capacity credit, in which the effective load carrying capability is utilized to calculate the capacity value of utility-scale PV plants. A novel metric is proposed to depict the temporal correlation between PV output and load profile, considering the intermittent nature of PV power. The impacts of PV penetration, simulation temporal granularities, and correlation similarity of varying PV and load time series on the capacity credit evaluation of PV systems are also explored. Finally, the presented empirical model is employed for capacity credit evaluation for any given conditions. The law of decreasing marginal capacity value is verified, and the optimal time scale for capacity credit estimation is obtained using the established model." @default.
- W2475057352 created "2016-07-22" @default.
- W2475057352 creator A5003621726 @default.
- W2475057352 creator A5091591482 @default.
- W2475057352 date "2017-01-01" @default.
- W2475057352 modified "2023-10-11" @default.
- W2475057352 title "Empirical Model for Capacity Credit Evaluation of Utility-Scale PV Plant" @default.
- W2475057352 cites W1573034663 @default.
- W2475057352 cites W1786923565 @default.
- W2475057352 cites W1965957070 @default.
- W2475057352 cites W1974065905 @default.
- W2475057352 cites W1984290611 @default.
- W2475057352 cites W1987043029 @default.
- W2475057352 cites W1988328693 @default.
- W2475057352 cites W1994777337 @default.
- W2475057352 cites W1997394402 @default.
- W2475057352 cites W2002123635 @default.
- W2475057352 cites W2004752005 @default.
- W2475057352 cites W2019583062 @default.
- W2475057352 cites W2021087502 @default.
- W2475057352 cites W2033666771 @default.
- W2475057352 cites W2037411704 @default.
- W2475057352 cites W2058579030 @default.
- W2475057352 cites W2066983569 @default.
- W2475057352 cites W2073004501 @default.
- W2475057352 cites W2073880663 @default.
- W2475057352 cites W2077114403 @default.
- W2475057352 cites W2080342582 @default.
- W2475057352 cites W2088331292 @default.
- W2475057352 cites W2088944550 @default.
- W2475057352 cites W2112664678 @default.
- W2475057352 cites W2136225777 @default.
- W2475057352 cites W2141276447 @default.
- W2475057352 cites W2147492726 @default.
- W2475057352 cites W2148233873 @default.
- W2475057352 cites W2154019474 @default.
- W2475057352 cites W2155482699 @default.
- W2475057352 cites W2169498704 @default.
- W2475057352 cites W2280123453 @default.
- W2475057352 cites W2528370850 @default.
- W2475057352 cites W2554098616 @default.
- W2475057352 cites W4249156829 @default.
- W2475057352 doi "https://doi.org/10.1109/tste.2016.2584119" @default.
- W2475057352 hasPublicationYear "2017" @default.
- W2475057352 type Work @default.
- W2475057352 sameAs 2475057352 @default.
- W2475057352 citedByCount "30" @default.
- W2475057352 countsByYear W24750573522016 @default.
- W2475057352 countsByYear W24750573522017 @default.
- W2475057352 countsByYear W24750573522018 @default.
- W2475057352 countsByYear W24750573522019 @default.
- W2475057352 countsByYear W24750573522020 @default.
- W2475057352 countsByYear W24750573522021 @default.
- W2475057352 countsByYear W24750573522022 @default.
- W2475057352 countsByYear W24750573522023 @default.
- W2475057352 crossrefType "journal-article" @default.
- W2475057352 hasAuthorship W2475057352A5003621726 @default.
- W2475057352 hasAuthorship W2475057352A5091591482 @default.
- W2475057352 hasConcept C119599485 @default.
- W2475057352 hasConcept C121332964 @default.
- W2475057352 hasConcept C127413603 @default.
- W2475057352 hasConcept C163258240 @default.
- W2475057352 hasConcept C200601418 @default.
- W2475057352 hasConcept C2778755073 @default.
- W2475057352 hasConcept C41008148 @default.
- W2475057352 hasConcept C41291067 @default.
- W2475057352 hasConcept C423512 @default.
- W2475057352 hasConcept C62520636 @default.
- W2475057352 hasConcept C71554815 @default.
- W2475057352 hasConceptScore W2475057352C119599485 @default.
- W2475057352 hasConceptScore W2475057352C121332964 @default.
- W2475057352 hasConceptScore W2475057352C127413603 @default.
- W2475057352 hasConceptScore W2475057352C163258240 @default.
- W2475057352 hasConceptScore W2475057352C200601418 @default.
- W2475057352 hasConceptScore W2475057352C2778755073 @default.
- W2475057352 hasConceptScore W2475057352C41008148 @default.
- W2475057352 hasConceptScore W2475057352C41291067 @default.
- W2475057352 hasConceptScore W2475057352C423512 @default.
- W2475057352 hasConceptScore W2475057352C62520636 @default.
- W2475057352 hasConceptScore W2475057352C71554815 @default.
- W2475057352 hasIssue "1" @default.
- W2475057352 hasLocation W24750573521 @default.
- W2475057352 hasOpenAccess W2475057352 @default.
- W2475057352 hasPrimaryLocation W24750573521 @default.
- W2475057352 hasRelatedWork W1597603242 @default.
- W2475057352 hasRelatedWork W1908892063 @default.
- W2475057352 hasRelatedWork W2064024491 @default.
- W2475057352 hasRelatedWork W2079418503 @default.
- W2475057352 hasRelatedWork W2923652323 @default.
- W2475057352 hasRelatedWork W3012984810 @default.
- W2475057352 hasRelatedWork W3194348528 @default.
- W2475057352 hasRelatedWork W4233580441 @default.
- W2475057352 hasRelatedWork W2489955862 @default.
- W2475057352 hasRelatedWork W2514111033 @default.
- W2475057352 hasVolume "8" @default.
- W2475057352 isParatext "false" @default.
- W2475057352 isRetracted "false" @default.
- W2475057352 magId "2475057352" @default.