FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2935808211> ?p ?o ?g. }

• W2935808211 endingPage "1356" @default.
• W2935808211 startingPage "1356" @default.
• W2935808211 abstract "The uncertainty of wind power brings many challenges to the operation and control of power systems, especially for the joint operation of multiple wind farms. Therefore, the study of the joint probability density function (JPDF) of multiple wind farms plays a significant role in the operation and control of power systems with multiple wind farms. This research was innovative in two ways. One, an adaptive bandwidth improvement strategy was proposed. It replaced the traditional fixed bandwidth of multivariate nonparametric kernel density estimation (MNKDE) with an adaptive bandwidth. Two, based on the above strategy, an adaptive multi-variable non-parametric kernel density estimation (AMNKDE) approach was proposed and applied to the JPDF modeling for multiple wind farms. The specific steps of AMNKDE were as follows: First, the model of AMNKDE was constructed using the optimal bandwidth. Second, an optimal model of bandwidth based on Euclidean distance and maximum distance was constructed, and the comprehensive minimum of these distances was used as a measure of optimal bandwidth. Finally, the ordinal optimization (OO) algorithm was used to solve this model. The scenario results indicated that the overall fitness error of the AMNKDE method was 8.81% and 11.6% lower than that of the traditional MNKDE method and the Copula-based parameter estimation method, respectively. After replacing the modeling object the overall fitness error of the comprehensive Copula method increased by as much as 1.94 times that of AMNKDE. In summary, the proposed approach not only possesses higher accuracy and better applicability but also solved the local adaptability problem of the traditional MNKDE." @default.
• W2935808211 created "2019-04-25" @default.
• W2935808211 creator A5013786890 @default.
• W2935808211 creator A5025185595 @default.
• W2935808211 creator A5036746403 @default.
• W2935808211 creator A5072808499 @default.
• W2935808211 creator A5075641611 @default.
• W2935808211 creator A5080737144 @default.
• W2935808211 creator A5089856170 @default.
• W2935808211 date "2019-04-09" @default.
• W2935808211 modified "2023-10-01" @default.
• W2935808211 title "Adaptive Nonparametric Kernel Density Estimation Approach for Joint Probability Density Function Modeling of Multiple Wind Farms" @default.
• W2935808211 cites W1168959737 @default.
• W2935808211 cites W1769967752 @default.
• W2935808211 cites W1969735582 @default.
• W2935808211 cites W1982487450 @default.
• W2935808211 cites W1989682464 @default.
• W2935808211 cites W1993137821 @default.
• W2935808211 cites W2021655156 @default.
• W2935808211 cites W2023140078 @default.
• W2935808211 cites W2029848703 @default.
• W2935808211 cites W2048061429 @default.
• W2935808211 cites W2079174861 @default.
• W2935808211 cites W2081287822 @default.
• W2935808211 cites W2095369024 @default.
• W2935808211 cites W2117708229 @default.
• W2935808211 cites W2129054030 @default.
• W2935808211 cites W2150761236 @default.
• W2935808211 cites W2158365507 @default.
• W2935808211 cites W2270695681 @default.
• W2935808211 cites W2281268565 @default.
• W2935808211 cites W2323140498 @default.
• W2935808211 cites W2332213682 @default.
• W2935808211 cites W2336992768 @default.
• W2935808211 cites W2346269128 @default.
• W2935808211 cites W2516577417 @default.
• W2935808211 cites W2519484288 @default.
• W2935808211 cites W2588119532 @default.
• W2935808211 cites W2605972243 @default.
• W2935808211 cites W2627077237 @default.
• W2935808211 cites W2742803187 @default.
• W2935808211 cites W2792005455 @default.
• W2935808211 cites W2793085335 @default.
• W2935808211 cites W2796497513 @default.
• W2935808211 cites W2804843175 @default.
• W2935808211 cites W2883909241 @default.
• W2935808211 cites W2884143671 @default.
• W2935808211 cites W2897105579 @default.
• W2935808211 cites W2903504931 @default.
• W2935808211 cites W2908432631 @default.
• W2935808211 cites W2912806543 @default.
• W2935808211 cites W2921430167 @default.
• W2935808211 cites W779821908 @default.
• W2935808211 doi "https://doi.org/10.3390/en12071356" @default.
• W2935808211 hasPublicationYear "2019" @default.
• W2935808211 type Work @default.
• W2935808211 sameAs 2935808211 @default.
• W2935808211 citedByCount "36" @default.
• W2935808211 countsByYear W29358082112019 @default.
• W2935808211 countsByYear W29358082112020 @default.
• W2935808211 countsByYear W29358082112021 @default.
• W2935808211 countsByYear W29358082112022 @default.
• W2935808211 countsByYear W29358082112023 @default.
• W2935808211 crossrefType "journal-article" @default.
• W2935808211 hasAuthorship W2935808211A5013786890 @default.
• W2935808211 hasAuthorship W2935808211A5025185595 @default.
• W2935808211 hasAuthorship W2935808211A5036746403 @default.
• W2935808211 hasAuthorship W2935808211A5072808499 @default.
• W2935808211 hasAuthorship W2935808211A5075641611 @default.
• W2935808211 hasAuthorship W2935808211A5080737144 @default.
• W2935808211 hasAuthorship W2935808211A5089856170 @default.
• W2935808211 hasBestOaLocation W29358082111 @default.
• W2935808211 hasConcept C102366305 @default.
• W2935808211 hasConcept C105795698 @default.
• W2935808211 hasConcept C11413529 @default.
• W2935808211 hasConcept C119599485 @default.
• W2935808211 hasConcept C122280245 @default.
• W2935808211 hasConcept C12267149 @default.
• W2935808211 hasConcept C126255220 @default.
• W2935808211 hasConcept C127413603 @default.
• W2935808211 hasConcept C149782125 @default.
• W2935808211 hasConcept C154945302 @default.
• W2935808211 hasConcept C159877910 @default.
• W2935808211 hasConcept C17618745 @default.
• W2935808211 hasConcept C185429906 @default.
• W2935808211 hasConcept C195699287 @default.
• W2935808211 hasConcept C197055811 @default.
• W2935808211 hasConcept C2776257435 @default.
• W2935808211 hasConcept C31258907 @default.
• W2935808211 hasConcept C33923547 @default.
• W2935808211 hasConcept C41008148 @default.
• W2935808211 hasConcept C71134354 @default.
• W2935808211 hasConcept C78600449 @default.
• W2935808211 hasConceptScore W2935808211C102366305 @default.
• W2935808211 hasConceptScore W2935808211C105795698 @default.
• W2935808211 hasConceptScore W2935808211C11413529 @default.
• W2935808211 hasConceptScore W2935808211C119599485 @default.
• W2935808211 hasConceptScore W2935808211C122280245 @default.

• next