FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894082330> ?p ?o ?g. }

• W2894082330 endingPage "12" @default.
• W2894082330 startingPage "1" @default.
• W2894082330 abstract "Minimizing errors in wind resource analysis brings significant reliability gains for any wind power generation project. The characterization of the wind regime is one of fundamental importance, and the two parameters Weibull distribution is the most applied function for it. This study aims to determine the scale and shape factor in an attempt to establish acceptable criteria to a better utilization of wind power in the states of Pernambuco and Rio Grande do Sul, which is a national prominence in the use of renewable sources for electricity generation in Brazil. The following heuristic optimization algorithms were applied: Harmony Search, Cuckoo Search Optimization, Particle Swarm Optimization and Ant Colony Optimization. The fit tests were performed with data from the Brazilian Federal Government’s SONDA (National System of Environmental Data Organization) project, referring to Triunfo, Petrolina and Sao Martinho da Serra, states of Pernambuco and Rio Grande do Sul, cities in the northeast and south regions of Brazil, during the period of 1 year. The tests were made in 2006 and 2010, all at 50 m from ground level. The results were analyzed and compared with those obtained by the maximum likelihood method, moment method, empirical method and equivalent energy method, methods that presented significant results in regions with characteristics similar to the regions studied in this study. The performance of each method was evaluated by the RMSE (root mean square error), MAE (mean absolute error), R $$^2$$ (coefficient of determination) and WPD (wind production deviation) tests . The statistical tests showed that ACO is the most efficient method for determining the parameters of the Weibull distribution for Triunfo and Sao Martinho da Serra and CSO is the most efficient for Petrolina." @default.
• W2894082330 created "2018-10-05" @default.
• W2894082330 creator A5013571293 @default.
• W2894082330 creator A5046729920 @default.
• W2894082330 creator A5050798142 @default.
• W2894082330 creator A5064624600 @default.
• W2894082330 creator A5073891737 @default.
• W2894082330 date "2018-09-26" @default.
• W2894082330 modified "2023-10-15" @default.
• W2894082330 title "Four heuristic optimization algorithms applied to wind energy: determination of Weibull curve parameters for three Brazilian sites" @default.
• W2894082330 cites W1797178173 @default.
• W2894082330 cites W1964347089 @default.
• W2894082330 cites W1979251950 @default.
• W2894082330 cites W1981689130 @default.
• W2894082330 cites W1982971904 @default.
• W2894082330 cites W1983189246 @default.
• W2894082330 cites W1991577942 @default.
• W2894082330 cites W1993885071 @default.
• W2894082330 cites W1994106789 @default.
• W2894082330 cites W2009307807 @default.
• W2894082330 cites W2048061429 @default.
• W2894082330 cites W2054659065 @default.
• W2894082330 cites W2091355738 @default.
• W2894082330 cites W2165449016 @default.
• W2894082330 cites W2170800794 @default.
• W2894082330 cites W2344071072 @default.
• W2894082330 cites W2538178450 @default.
• W2894082330 cites W2550797230 @default.
• W2894082330 cites W2559874265 @default.
• W2894082330 cites W2563961440 @default.
• W2894082330 cites W2612200727 @default.
• W2894082330 cites W2775917603 @default.
• W2894082330 cites W2795724218 @default.
• W2894082330 cites W2798741797 @default.
• W2894082330 cites W2851637877 @default.
• W2894082330 cites W4299796063 @default.
• W2894082330 doi "https://doi.org/10.1007/s40095-018-0285-5" @default.
• W2894082330 hasPublicationYear "2018" @default.
• W2894082330 type Work @default.
• W2894082330 sameAs 2894082330 @default.
• W2894082330 citedByCount "15" @default.
• W2894082330 countsByYear W28940823302019 @default.
• W2894082330 countsByYear W28940823302020 @default.
• W2894082330 countsByYear W28940823302021 @default.
• W2894082330 countsByYear W28940823302022 @default.
• W2894082330 countsByYear W28940823302023 @default.
• W2894082330 crossrefType "journal-article" @default.
• W2894082330 hasAuthorship W2894082330A5013571293 @default.
• W2894082330 hasAuthorship W2894082330A5046729920 @default.
• W2894082330 hasAuthorship W2894082330A5050798142 @default.
• W2894082330 hasAuthorship W2894082330A5064624600 @default.
• W2894082330 hasAuthorship W2894082330A5073891737 @default.
• W2894082330 hasBestOaLocation W28940823301 @default.
• W2894082330 hasConcept C105795698 @default.
• W2894082330 hasConcept C11413529 @default.
• W2894082330 hasConcept C119599485 @default.
• W2894082330 hasConcept C126255220 @default.
• W2894082330 hasConcept C127413603 @default.
• W2894082330 hasConcept C173291955 @default.
• W2894082330 hasConcept C173801870 @default.
• W2894082330 hasConcept C186370098 @default.
• W2894082330 hasConcept C2987595161 @default.
• W2894082330 hasConcept C33923547 @default.
• W2894082330 hasConcept C41008148 @default.
• W2894082330 hasConcept C78600449 @default.
• W2894082330 hasConceptScore W2894082330C105795698 @default.
• W2894082330 hasConceptScore W2894082330C11413529 @default.
• W2894082330 hasConceptScore W2894082330C119599485 @default.
• W2894082330 hasConceptScore W2894082330C126255220 @default.
• W2894082330 hasConceptScore W2894082330C127413603 @default.
• W2894082330 hasConceptScore W2894082330C173291955 @default.
• W2894082330 hasConceptScore W2894082330C173801870 @default.
• W2894082330 hasConceptScore W2894082330C186370098 @default.
• W2894082330 hasConceptScore W2894082330C2987595161 @default.
• W2894082330 hasConceptScore W2894082330C33923547 @default.
• W2894082330 hasConceptScore W2894082330C41008148 @default.
• W2894082330 hasConceptScore W2894082330C78600449 @default.
• W2894082330 hasIssue "1" @default.
• W2894082330 hasLocation W28940823301 @default.
• W2894082330 hasOpenAccess W2894082330 @default.
• W2894082330 hasPrimaryLocation W28940823301 @default.
• W2894082330 hasRelatedWork W1984119660 @default.
• W2894082330 hasRelatedWork W2016298552 @default.
• W2894082330 hasRelatedWork W2020849722 @default.
• W2894082330 hasRelatedWork W2147068841 @default.
• W2894082330 hasRelatedWork W2583429695 @default.
• W2894082330 hasRelatedWork W2894082330 @default.
• W2894082330 hasRelatedWork W2945995559 @default.
• W2894082330 hasRelatedWork W3139898522 @default.
• W2894082330 hasRelatedWork W4281618183 @default.
• W2894082330 hasRelatedWork W2183431081 @default.
• W2894082330 hasVolume "10" @default.
• W2894082330 isParatext "false" @default.
• W2894082330 isRetracted "false" @default.
• W2894082330 magId "2894082330" @default.
• W2894082330 workType "article" @default.