FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310607862> ?p ?o ?g. }

• W4310607862 endingPage "222" @default.
• W4310607862 startingPage "201" @default.
• W4310607862 abstract "Wind energy has increased penetration to grid largely and due to its intermittency and uncertainty, an accurate wind energy forecast is crucial for power sectors, including generation, transmission, and supervisory sides, to make their most cost-effective and reliable decision. However, many forecasting models fail to provide stochastic information of wind energy, nor consider the temporal and spatial correlation of the training data. Majority of the models are deterministic which only predict one value at one future time. Some stochastic models are yet too simple to fully capture the uncertain information. The ideal choice is a data-driven methodology that extracts relevant and meaningful information from available data even when the physical model of the system is unknown. Because of such need, we developed the generalized dynamic factor model (GDFM) – a novel multivariate stochastic spatiotemporal forecasting model for wind power. The uncertain information of future wind power can be well represented by the short-term future wind power scenarios. The GDFM can accurately represent the spatial and temporal correlations among wind farms through the multivariate stochastic process. Compared with two common short-term models, persistent model and AR (2) model, the GDFM is found to increase the forecasting accuracy by 37.3% and 9.7%, respectively, in root mean square error (RMSE); and similarly, by 36.8% and 6.6%, respectively, in mean absolute error (MAE). The GDFM utilizes the factor analysis (FA) to reduce the data dimension by representing data in terms of the common latent variables, called factors, so that the computational burden of the multivariate time-series analysis can be reduced significantly. Then, the observed variables are modeled as linear combinations of the latent factors. The book chapter is mainly in five sections: (1) Introduction: introduce recent work on forecast and the advantages of GDFM. (2) Derivation of GDFM: derive model equations to show how wind power scenario forecasting can be calculated by factor loadings and dynamic factors. (3) Estimation of GDFM: show the process of estimating model parameters. (4) Verification of GDFM: verify the model with validation sets to show its accuracy with persistent model and AR (2) model and ability to catch co-movement of different wind farms. (5) Application of GDFM: apply GDFM to one-day ahead dynamic optimal power flow to reduce operation cost on wind energy integrated power system." @default.
• W4310607862 created "2022-12-12" @default.
• W4310607862 creator A5009975334 @default.
• W4310607862 creator A5033069041 @default.
• W4310607862 creator A5048238798 @default.
• W4310607862 date "2022-12-02" @default.
• W4310607862 modified "2023-09-26" @default.
• W4310607862 title "A Multivariate Stochastic Spatiotemporal Wind Power Scenario Forecasting Model" @default.
• W4310607862 cites W1966683033 @default.
• W4310607862 cites W1971474913 @default.
• W4310607862 cites W2066481368 @default.
• W4310607862 cites W2078035158 @default.
• W4310607862 cites W2080699696 @default.
• W4310607862 cites W2106424475 @default.
• W4310607862 cites W2108817407 @default.
• W4310607862 cites W2345777279 @default.
• W4310607862 cites W2773581256 @default.
• W4310607862 cites W2990134330 @default.
• W4310607862 cites W3048580977 @default.
• W4310607862 cites W3125070724 @default.
• W4310607862 cites W4292081177 @default.
• W4310607862 doi "https://doi.org/10.1002/9781119834052.ch10" @default.
• W4310607862 hasPublicationYear "2022" @default.
• W4310607862 type Work @default.
• W4310607862 citedByCount "0" @default.
• W4310607862 crossrefType "other" @default.
• W4310607862 hasAuthorship W4310607862A5009975334 @default.
• W4310607862 hasAuthorship W4310607862A5033069041 @default.
• W4310607862 hasAuthorship W4310607862A5048238798 @default.
• W4310607862 hasConcept C105795698 @default.
• W4310607862 hasConcept C119599485 @default.
• W4310607862 hasConcept C121332964 @default.
• W4310607862 hasConcept C124101348 @default.
• W4310607862 hasConcept C127413603 @default.
• W4310607862 hasConcept C127491075 @default.
• W4310607862 hasConcept C139945424 @default.
• W4310607862 hasConcept C149782125 @default.
• W4310607862 hasConcept C153294291 @default.
• W4310607862 hasConcept C161067210 @default.
• W4310607862 hasConcept C161584116 @default.
• W4310607862 hasConcept C163258240 @default.
• W4310607862 hasConcept C196558001 @default.
• W4310607862 hasConcept C205649164 @default.
• W4310607862 hasConcept C2780388094 @default.
• W4310607862 hasConcept C2781084341 @default.
• W4310607862 hasConcept C33923547 @default.
• W4310607862 hasConcept C41008148 @default.
• W4310607862 hasConcept C62520636 @default.
• W4310607862 hasConcept C78600449 @default.
• W4310607862 hasConcept C89227174 @default.
• W4310607862 hasConceptScore W4310607862C105795698 @default.
• W4310607862 hasConceptScore W4310607862C119599485 @default.
• W4310607862 hasConceptScore W4310607862C121332964 @default.
• W4310607862 hasConceptScore W4310607862C124101348 @default.
• W4310607862 hasConceptScore W4310607862C127413603 @default.
• W4310607862 hasConceptScore W4310607862C127491075 @default.
• W4310607862 hasConceptScore W4310607862C139945424 @default.
• W4310607862 hasConceptScore W4310607862C149782125 @default.
• W4310607862 hasConceptScore W4310607862C153294291 @default.
• W4310607862 hasConceptScore W4310607862C161067210 @default.
• W4310607862 hasConceptScore W4310607862C161584116 @default.
• W4310607862 hasConceptScore W4310607862C163258240 @default.
• W4310607862 hasConceptScore W4310607862C196558001 @default.
• W4310607862 hasConceptScore W4310607862C205649164 @default.
• W4310607862 hasConceptScore W4310607862C2780388094 @default.
• W4310607862 hasConceptScore W4310607862C2781084341 @default.
• W4310607862 hasConceptScore W4310607862C33923547 @default.
• W4310607862 hasConceptScore W4310607862C41008148 @default.
• W4310607862 hasConceptScore W4310607862C62520636 @default.
• W4310607862 hasConceptScore W4310607862C78600449 @default.
• W4310607862 hasConceptScore W4310607862C89227174 @default.
• W4310607862 hasLocation W43106078621 @default.
• W4310607862 hasOpenAccess W4310607862 @default.
• W4310607862 hasPrimaryLocation W43106078621 @default.
• W4310607862 hasRelatedWork W1972014080 @default.
• W4310607862 hasRelatedWork W2060606400 @default.
• W4310607862 hasRelatedWork W2102851390 @default.
• W4310607862 hasRelatedWork W2163833378 @default.
• W4310607862 hasRelatedWork W2502399335 @default.
• W4310607862 hasRelatedWork W2543278773 @default.
• W4310607862 hasRelatedWork W2926917581 @default.
• W4310607862 hasRelatedWork W2946066052 @default.
• W4310607862 hasRelatedWork W4226267545 @default.
• W4310607862 hasRelatedWork W98317161 @default.
• W4310607862 isParatext "false" @default.
• W4310607862 isRetracted "false" @default.
• W4310607862 workType "other" @default.