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Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands
Sheng Chen1; Hao Cheng1; Hongcai Zhang2; Si Lv1; Zhinong Wei2; Yuyang Jin3
2025-01
Source PublicationApplied Energy
Volume377Issue:Part A
DOI10.1016/j.apenergy.2024.124391
URLView the original
Indexed BySCIE
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Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorHao Cheng
Affiliation1.School of Electrical and Power Engineering, Hohai University, Nanjing 210098, China
2.State Key Laboratory of Internet of Things for Smart City, University of Macau, 999078, Macao Special Administrative Region of China
3.Department of Electrical and Computer Engineering, University of California, Davis, CA 95616, USA
Recommended Citation
GB/T 7714
Sheng Chen,Hao Cheng,Hongcai Zhang,et al. Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands[J]. Applied Energy, 2025, 377(Part A).
APA Sheng Chen., Hao Cheng., Hongcai Zhang., Si Lv., Zhinong Wei., & Yuyang Jin (2025). Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands. Applied Energy, 377(Part A).
MLA Sheng Chen,et al."Privacy-preserving coordination of power and transportation networks using spatiotemporal GAT for predicting EV charging demands".Applied Energy 377.Part A(2025).
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