Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312352434> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4312352434 abstract "Smart grid is one of the representative applications for 5G network. However, at the current stage, it is difficult for 5G network to achieve full coverage while power private LTE-G 230 wireless network has the characteristics of wide coverage and low operating costs. Therefore, it is more meaningful to integrate 5G and power private LTE-G 230 wireless network to cope with the current situation. Traffic predication of the converged network can provide support for network resource allocation and optimization. This paper proposes a method for traffic prediction of the converged network for smart grid. First, the processing center of smart grid collects feature data related to 5G transmission of terminals through power private LTE-G 230 wireless network, including terminal location distribution, bandwidth requirements, actual bandwidth, and communication quality. Secondly, using the collected sequence of the feature data as input, the deep learning framework GNN and LSTM are adopted to predict the traffic demand of the base station in the next stage. Among them, GNN is used to model the spatial correlation of adjacent base stations in the topology map, while LSTM is used to model the temporal correlation of sequence data. In the experiments, we simulated three types of power services and further generated the feature data for base station. The experimental results verified the effectiveness of the proposed method and it can achieve high accuracy of predication." @default.
- W4312352434 created "2023-01-04" @default.
- W4312352434 creator A5002916689 @default.
- W4312352434 creator A5009215001 @default.
- W4312352434 creator A5027087790 @default.
- W4312352434 creator A5029430413 @default.
- W4312352434 creator A5063436972 @default.
- W4312352434 creator A5090394849 @default.
- W4312352434 date "2022-07-15" @default.
- W4312352434 modified "2023-10-16" @default.
- W4312352434 title "Traffic prediction of converged network for smart gird based on GNN and LSTM" @default.
- W4312352434 cites W2064675550 @default.
- W4312352434 cites W2593997274 @default.
- W4312352434 cites W2807536558 @default.
- W4312352434 cites W2888905642 @default.
- W4312352434 cites W2903500163 @default.
- W4312352434 cites W2921319277 @default.
- W4312352434 cites W3046825645 @default.
- W4312352434 cites W3103978716 @default.
- W4312352434 cites W3111901253 @default.
- W4312352434 cites W3190565763 @default.
- W4312352434 cites W4210368370 @default.
- W4312352434 cites W4214643686 @default.
- W4312352434 doi "https://doi.org/10.1109/icbaie56435.2022.9985900" @default.
- W4312352434 hasPublicationYear "2022" @default.
- W4312352434 type Work @default.
- W4312352434 citedByCount "0" @default.
- W4312352434 crossrefType "proceedings-article" @default.
- W4312352434 hasAuthorship W4312352434A5002916689 @default.
- W4312352434 hasAuthorship W4312352434A5009215001 @default.
- W4312352434 hasAuthorship W4312352434A5027087790 @default.
- W4312352434 hasAuthorship W4312352434A5029430413 @default.
- W4312352434 hasAuthorship W4312352434A5063436972 @default.
- W4312352434 hasAuthorship W4312352434A5090394849 @default.
- W4312352434 hasConcept C10558101 @default.
- W4312352434 hasConcept C108037233 @default.
- W4312352434 hasConcept C119599485 @default.
- W4312352434 hasConcept C124101348 @default.
- W4312352434 hasConcept C127413603 @default.
- W4312352434 hasConcept C153646914 @default.
- W4312352434 hasConcept C187691185 @default.
- W4312352434 hasConcept C2524010 @default.
- W4312352434 hasConcept C2776257435 @default.
- W4312352434 hasConcept C31258907 @default.
- W4312352434 hasConcept C33923547 @default.
- W4312352434 hasConcept C41008148 @default.
- W4312352434 hasConcept C555944384 @default.
- W4312352434 hasConcept C68649174 @default.
- W4312352434 hasConcept C76155785 @default.
- W4312352434 hasConcept C79403827 @default.
- W4312352434 hasConceptScore W4312352434C10558101 @default.
- W4312352434 hasConceptScore W4312352434C108037233 @default.
- W4312352434 hasConceptScore W4312352434C119599485 @default.
- W4312352434 hasConceptScore W4312352434C124101348 @default.
- W4312352434 hasConceptScore W4312352434C127413603 @default.
- W4312352434 hasConceptScore W4312352434C153646914 @default.
- W4312352434 hasConceptScore W4312352434C187691185 @default.
- W4312352434 hasConceptScore W4312352434C2524010 @default.
- W4312352434 hasConceptScore W4312352434C2776257435 @default.
- W4312352434 hasConceptScore W4312352434C31258907 @default.
- W4312352434 hasConceptScore W4312352434C33923547 @default.
- W4312352434 hasConceptScore W4312352434C41008148 @default.
- W4312352434 hasConceptScore W4312352434C555944384 @default.
- W4312352434 hasConceptScore W4312352434C68649174 @default.
- W4312352434 hasConceptScore W4312352434C76155785 @default.
- W4312352434 hasConceptScore W4312352434C79403827 @default.
- W4312352434 hasLocation W43123524341 @default.
- W4312352434 hasOpenAccess W4312352434 @default.
- W4312352434 hasPrimaryLocation W43123524341 @default.
- W4312352434 hasRelatedWork W1879081724 @default.
- W4312352434 hasRelatedWork W2043937055 @default.
- W4312352434 hasRelatedWork W2047638222 @default.
- W4312352434 hasRelatedWork W2119860474 @default.
- W4312352434 hasRelatedWork W2128637334 @default.
- W4312352434 hasRelatedWork W2138045580 @default.
- W4312352434 hasRelatedWork W2159282364 @default.
- W4312352434 hasRelatedWork W2786503699 @default.
- W4312352434 hasRelatedWork W2907297631 @default.
- W4312352434 hasRelatedWork W1895916740 @default.
- W4312352434 isParatext "false" @default.
- W4312352434 isRetracted "false" @default.
- W4312352434 workType "article" @default.