Matches in SemOpenAlex for { <https://semopenalex.org/work/W3178531427> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W3178531427 endingPage "042045" @default.
- W3178531427 startingPage "042045" @default.
- W3178531427 abstract "Abstract The development of large-scale electric vehicles puts forward new requirements for safe and reliable operation of distribution network. Accurate and reliable EV load forecasting can effectively support large-scale EV load grid-connected operation and provide conditions for reasonable regulation of demand side resources. Firstly, this paper analyses the necessity and feasibility of electric vehicle load forecasting from the scale characteristics, regulation ability and informatization level of electric vehicle development. Then, a load forecasting method based on Back-Propagation neural network algorithm is proposed. Finally, the applicability of the model was verified based on the daily load of electric vehicles. The results show that the model can realize the effective load prediction of electric vehicles, and will support the smooth progress of related work." @default.
- W3178531427 created "2021-07-19" @default.
- W3178531427 creator A5017595871 @default.
- W3178531427 creator A5028978685 @default.
- W3178531427 creator A5043026123 @default.
- W3178531427 creator A5047186891 @default.
- W3178531427 creator A5074009579 @default.
- W3178531427 creator A5090092803 @default.
- W3178531427 date "2021-07-01" @default.
- W3178531427 modified "2023-09-24" @default.
- W3178531427 title "Electric Vehicle Load Prediction Method Based on Back-Propagation Neural Network" @default.
- W3178531427 cites W2061843519 @default.
- W3178531427 cites W2181435757 @default.
- W3178531427 cites W2620669311 @default.
- W3178531427 cites W2795571244 @default.
- W3178531427 cites W2998761707 @default.
- W3178531427 doi "https://doi.org/10.1088/1755-1315/804/4/042045" @default.
- W3178531427 hasPublicationYear "2021" @default.
- W3178531427 type Work @default.
- W3178531427 sameAs 3178531427 @default.
- W3178531427 citedByCount "1" @default.
- W3178531427 countsByYear W31785314272022 @default.
- W3178531427 crossrefType "journal-article" @default.
- W3178531427 hasAuthorship W3178531427A5017595871 @default.
- W3178531427 hasAuthorship W3178531427A5028978685 @default.
- W3178531427 hasAuthorship W3178531427A5043026123 @default.
- W3178531427 hasAuthorship W3178531427A5047186891 @default.
- W3178531427 hasAuthorship W3178531427A5074009579 @default.
- W3178531427 hasAuthorship W3178531427A5090092803 @default.
- W3178531427 hasBestOaLocation W31785314271 @default.
- W3178531427 hasConcept C119599485 @default.
- W3178531427 hasConcept C121332964 @default.
- W3178531427 hasConcept C127413603 @default.
- W3178531427 hasConcept C138959212 @default.
- W3178531427 hasConcept C154945302 @default.
- W3178531427 hasConcept C155032097 @default.
- W3178531427 hasConcept C163258240 @default.
- W3178531427 hasConcept C165801399 @default.
- W3178531427 hasConcept C171146098 @default.
- W3178531427 hasConcept C18762648 @default.
- W3178531427 hasConcept C187691185 @default.
- W3178531427 hasConcept C2524010 @default.
- W3178531427 hasConcept C2776352007 @default.
- W3178531427 hasConcept C2776422217 @default.
- W3178531427 hasConcept C2778755073 @default.
- W3178531427 hasConcept C2983407661 @default.
- W3178531427 hasConcept C33923547 @default.
- W3178531427 hasConcept C41008148 @default.
- W3178531427 hasConcept C50644808 @default.
- W3178531427 hasConcept C62520636 @default.
- W3178531427 hasConcept C76155785 @default.
- W3178531427 hasConcept C77715397 @default.
- W3178531427 hasConcept C78519656 @default.
- W3178531427 hasConceptScore W3178531427C119599485 @default.
- W3178531427 hasConceptScore W3178531427C121332964 @default.
- W3178531427 hasConceptScore W3178531427C127413603 @default.
- W3178531427 hasConceptScore W3178531427C138959212 @default.
- W3178531427 hasConceptScore W3178531427C154945302 @default.
- W3178531427 hasConceptScore W3178531427C155032097 @default.
- W3178531427 hasConceptScore W3178531427C163258240 @default.
- W3178531427 hasConceptScore W3178531427C165801399 @default.
- W3178531427 hasConceptScore W3178531427C171146098 @default.
- W3178531427 hasConceptScore W3178531427C18762648 @default.
- W3178531427 hasConceptScore W3178531427C187691185 @default.
- W3178531427 hasConceptScore W3178531427C2524010 @default.
- W3178531427 hasConceptScore W3178531427C2776352007 @default.
- W3178531427 hasConceptScore W3178531427C2776422217 @default.
- W3178531427 hasConceptScore W3178531427C2778755073 @default.
- W3178531427 hasConceptScore W3178531427C2983407661 @default.
- W3178531427 hasConceptScore W3178531427C33923547 @default.
- W3178531427 hasConceptScore W3178531427C41008148 @default.
- W3178531427 hasConceptScore W3178531427C50644808 @default.
- W3178531427 hasConceptScore W3178531427C62520636 @default.
- W3178531427 hasConceptScore W3178531427C76155785 @default.
- W3178531427 hasConceptScore W3178531427C77715397 @default.
- W3178531427 hasConceptScore W3178531427C78519656 @default.
- W3178531427 hasIssue "4" @default.
- W3178531427 hasLocation W31785314271 @default.
- W3178531427 hasOpenAccess W3178531427 @default.
- W3178531427 hasPrimaryLocation W31785314271 @default.
- W3178531427 hasRelatedWork W1517243424 @default.
- W3178531427 hasRelatedWork W1596201972 @default.
- W3178531427 hasRelatedWork W1690319996 @default.
- W3178531427 hasRelatedWork W2121567566 @default.
- W3178531427 hasRelatedWork W2138479795 @default.
- W3178531427 hasRelatedWork W2160502612 @default.
- W3178531427 hasRelatedWork W2352349437 @default.
- W3178531427 hasRelatedWork W2541093535 @default.
- W3178531427 hasRelatedWork W3178531427 @default.
- W3178531427 hasRelatedWork W3198077945 @default.
- W3178531427 hasVolume "804" @default.
- W3178531427 isParatext "false" @default.
- W3178531427 isRetracted "false" @default.
- W3178531427 magId "3178531427" @default.
- W3178531427 workType "article" @default.