Residential College | false |
Status | 已發表Published |
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 Publication | Applied Energy |
Volume | 377Issue:Part A |
DOI | 10.1016/j.apenergy.2024.124391 |
URL | View the original |
Indexed By | SCIE |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Corresponding Author | Hao Cheng |
Affiliation | 1.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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