FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384298082> ?p ?o ?g. }

• W4384298082 endingPage "11026" @default.
• W4384298082 startingPage "11026" @default.
• W4384298082 abstract "Wind power is an essential component of renewable energy. It enables the conservation of conventional energy sources such as coal and oil while reducing greenhouse gas emissions. To address the stochastic and intermittent nature of ultra-short-term wind power, a combined prediction model based on variational mode decomposition (VMD) and gradient boosting regression tree (GBRT) is proposed. Firstly, VMD is utilized to decompose the original wind power signal into three meaningful components: the long-term component, the short-term component, and the randomness component. Secondly, based on the characteristics of these three components, a support vector machine (SVM) is selected to predict the long-term and short-term components, while gated recurrent unit-long short-term memory (GRU-LSTM) is employed to predict the randomness component. Particle swarm optimization (PSO) is utilized to optimize the structural parameters of the SVM and GRU-LSTM combination for enhanced prediction accuracy. Additionally, a GBRT model is employed to predict the residuals. Finally, the rolling predicted values of the three components and residuals are aggregated. A deep learning framework using TensorFlow 2.0 has been built on the Python platform, and a dataset measured from a wind farm has been utilized for learning and prediction. The comparative analysis reveals that the proposed model exhibits superior short-term wind power prediction performance, with a mean squared error, mean absolute error, and coefficient of determination of 0.0244, 0.1185, and 0.9821, respectively." @default.
• W4384298082 created "2023-07-15" @default.
• W4384298082 creator A5040601958 @default.
• W4384298082 creator A5053070701 @default.
• W4384298082 creator A5071796939 @default.
• W4384298082 creator A5082437433 @default.
• W4384298082 date "2023-07-14" @default.
• W4384298082 modified "2023-09-30" @default.
• W4384298082 title "A New Combined Prediction Model for Ultra-Short-Term Wind Power Based on Variational Mode Decomposition and Gradient Boosting Regression Tree" @default.
• W4384298082 cites W2000982976 @default.
• W4384298082 cites W2003938582 @default.
• W4384298082 cites W2005324096 @default.
• W4384298082 cites W2009680990 @default.
• W4384298082 cites W2036218954 @default.
• W4384298082 cites W2113238782 @default.
• W4384298082 cites W2127925682 @default.
• W4384298082 cites W2128213857 @default.
• W4384298082 cites W2159955170 @default.
• W4384298082 cites W2511683089 @default.
• W4384298082 cites W2605800522 @default.
• W4384298082 cites W2943863241 @default.
• W4384298082 cites W2959249082 @default.
• W4384298082 cites W2973488966 @default.
• W4384298082 cites W3009117260 @default.
• W4384298082 cites W3017367767 @default.
• W4384298082 cites W3039756358 @default.
• W4384298082 cites W3044436817 @default.
• W4384298082 cites W3118587847 @default.
• W4384298082 cites W3144234152 @default.
• W4384298082 cites W3167851348 @default.
• W4384298082 cites W3215693540 @default.
• W4384298082 cites W4214749693 @default.
• W4384298082 cites W4225563630 @default.
• W4384298082 cites W4226248194 @default.
• W4384298082 cites W4226420318 @default.
• W4384298082 cites W4285259820 @default.
• W4384298082 cites W4285310856 @default.
• W4384298082 cites W4295788784 @default.
• W4384298082 cites W4312338059 @default.
• W4384298082 cites W4312550982 @default.
• W4384298082 cites W4322771715 @default.
• W4384298082 cites W4361854235 @default.
• W4384298082 cites W4377704473 @default.
• W4384298082 doi "https://doi.org/10.3390/su151411026" @default.
• W4384298082 hasPublicationYear "2023" @default.
• W4384298082 type Work @default.
• W4384298082 citedByCount "1" @default.
• W4384298082 countsByYear W43842980822023 @default.
• W4384298082 crossrefType "journal-article" @default.
• W4384298082 hasAuthorship W4384298082A5040601958 @default.
• W4384298082 hasAuthorship W4384298082A5053070701 @default.
• W4384298082 hasAuthorship W4384298082A5071796939 @default.
• W4384298082 hasAuthorship W4384298082A5082437433 @default.
• W4384298082 hasBestOaLocation W43842980821 @default.
• W4384298082 hasConcept C105795698 @default.
• W4384298082 hasConcept C11413529 @default.
• W4384298082 hasConcept C119599485 @default.
• W4384298082 hasConcept C121332964 @default.
• W4384298082 hasConcept C12267149 @default.
• W4384298082 hasConcept C125112378 @default.
• W4384298082 hasConcept C127413603 @default.
• W4384298082 hasConcept C139945424 @default.
• W4384298082 hasConcept C154945302 @default.
• W4384298082 hasConcept C169258074 @default.
• W4384298082 hasConcept C27438332 @default.
• W4384298082 hasConcept C2780150128 @default.
• W4384298082 hasConcept C33923547 @default.
• W4384298082 hasConcept C41008148 @default.
• W4384298082 hasConcept C50644808 @default.
• W4384298082 hasConcept C61797465 @default.
• W4384298082 hasConcept C62520636 @default.
• W4384298082 hasConcept C70153297 @default.
• W4384298082 hasConcept C78600449 @default.
• W4384298082 hasConcept C85617194 @default.
• W4384298082 hasConceptScore W4384298082C105795698 @default.
• W4384298082 hasConceptScore W4384298082C11413529 @default.
• W4384298082 hasConceptScore W4384298082C119599485 @default.
• W4384298082 hasConceptScore W4384298082C121332964 @default.
• W4384298082 hasConceptScore W4384298082C12267149 @default.
• W4384298082 hasConceptScore W4384298082C125112378 @default.
• W4384298082 hasConceptScore W4384298082C127413603 @default.
• W4384298082 hasConceptScore W4384298082C139945424 @default.
• W4384298082 hasConceptScore W4384298082C154945302 @default.
• W4384298082 hasConceptScore W4384298082C169258074 @default.
• W4384298082 hasConceptScore W4384298082C27438332 @default.
• W4384298082 hasConceptScore W4384298082C2780150128 @default.
• W4384298082 hasConceptScore W4384298082C33923547 @default.
• W4384298082 hasConceptScore W4384298082C41008148 @default.
• W4384298082 hasConceptScore W4384298082C50644808 @default.
• W4384298082 hasConceptScore W4384298082C61797465 @default.
• W4384298082 hasConceptScore W4384298082C62520636 @default.
• W4384298082 hasConceptScore W4384298082C70153297 @default.
• W4384298082 hasConceptScore W4384298082C78600449 @default.
• W4384298082 hasConceptScore W4384298082C85617194 @default.
• W4384298082 hasIssue "14" @default.
• W4384298082 hasLocation W43842980821 @default.
• W4384298082 hasOpenAccess W4384298082 @default.
• W4384298082 hasPrimaryLocation W43842980821 @default.

• next