Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226089427> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W4226089427 abstract "Accurate short-term solar and wind power predictions play an important role in the planning and operation of power systems. However, the short-term power prediction of renewable energy has always been considered a complex regression problem, owing to the fluctuation and intermittence of output powers and the law of dynamic change with time due to local weather conditions, i.e. spatio-temporal correlation. To capture the spatio-temporal features simultaneously, this paper proposes a new graph neural network-based short-term power forecasting approach, which combines the graph convolutional network (GCN) and long short-term memory (LSTM). Specifically, the GCN is employed to learn complex spatial correlations between adjacent renewable energies, and the LSTM is used to learn dynamic changes of power generation curves. The simulation results show that the proposed hybrid approach can model the spatio-temporal correlation of renewable energies, and its performance outperforms popular baselines on real-world datasets." @default.
- W4226089427 created "2022-05-05" @default.
- W4226089427 creator A5016848207 @default.
- W4226089427 creator A5022202169 @default.
- W4226089427 creator A5025808106 @default.
- W4226089427 creator A5046077655 @default.
- W4226089427 creator A5083658158 @default.
- W4226089427 date "2021-11-15" @default.
- W4226089427 modified "2023-10-17" @default.
- W4226089427 title "Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach" @default.
- W4226089427 doi "https://doi.org/10.48550/arxiv.2111.07958" @default.
- W4226089427 hasPublicationYear "2021" @default.
- W4226089427 type Work @default.
- W4226089427 citedByCount "0" @default.
- W4226089427 crossrefType "posted-content" @default.
- W4226089427 hasAuthorship W4226089427A5016848207 @default.
- W4226089427 hasAuthorship W4226089427A5022202169 @default.
- W4226089427 hasAuthorship W4226089427A5025808106 @default.
- W4226089427 hasAuthorship W4226089427A5046077655 @default.
- W4226089427 hasAuthorship W4226089427A5083658158 @default.
- W4226089427 hasBestOaLocation W42260894271 @default.
- W4226089427 hasConcept C119599485 @default.
- W4226089427 hasConcept C121332964 @default.
- W4226089427 hasConcept C124101348 @default.
- W4226089427 hasConcept C127413603 @default.
- W4226089427 hasConcept C132525143 @default.
- W4226089427 hasConcept C133488467 @default.
- W4226089427 hasConcept C147168706 @default.
- W4226089427 hasConcept C154945302 @default.
- W4226089427 hasConcept C188573790 @default.
- W4226089427 hasConcept C41008148 @default.
- W4226089427 hasConcept C50644808 @default.
- W4226089427 hasConcept C61797465 @default.
- W4226089427 hasConcept C62520636 @default.
- W4226089427 hasConcept C78600449 @default.
- W4226089427 hasConcept C80444323 @default.
- W4226089427 hasConceptScore W4226089427C119599485 @default.
- W4226089427 hasConceptScore W4226089427C121332964 @default.
- W4226089427 hasConceptScore W4226089427C124101348 @default.
- W4226089427 hasConceptScore W4226089427C127413603 @default.
- W4226089427 hasConceptScore W4226089427C132525143 @default.
- W4226089427 hasConceptScore W4226089427C133488467 @default.
- W4226089427 hasConceptScore W4226089427C147168706 @default.
- W4226089427 hasConceptScore W4226089427C154945302 @default.
- W4226089427 hasConceptScore W4226089427C188573790 @default.
- W4226089427 hasConceptScore W4226089427C41008148 @default.
- W4226089427 hasConceptScore W4226089427C50644808 @default.
- W4226089427 hasConceptScore W4226089427C61797465 @default.
- W4226089427 hasConceptScore W4226089427C62520636 @default.
- W4226089427 hasConceptScore W4226089427C78600449 @default.
- W4226089427 hasConceptScore W4226089427C80444323 @default.
- W4226089427 hasLocation W42260894271 @default.
- W4226089427 hasOpenAccess W4226089427 @default.
- W4226089427 hasPrimaryLocation W42260894271 @default.
- W4226089427 hasRelatedWork W12043821 @default.
- W4226089427 hasRelatedWork W12049465 @default.
- W4226089427 hasRelatedWork W12472515 @default.
- W4226089427 hasRelatedWork W13412558 @default.
- W4226089427 hasRelatedWork W13606678 @default.
- W4226089427 hasRelatedWork W1815792 @default.
- W4226089427 hasRelatedWork W2023756 @default.
- W4226089427 hasRelatedWork W2758677 @default.
- W4226089427 hasRelatedWork W3979659 @default.
- W4226089427 hasRelatedWork W9753090 @default.
- W4226089427 isParatext "false" @default.
- W4226089427 isRetracted "false" @default.
- W4226089427 workType "article" @default.