STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals
In: IEEE Transactions on Intelligent Transportation Systems, Jg. 24 (2023-12-01), Heft 12, S. 15018-15034
Online
academicJournal
Zugriff:
Titel: |
STPNet: Quantifying the Uncertainty of Electric Vehicle Charging Demand via Long-Term Spatiotemporal Traffic Flow Prediction Intervals
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Autor/in / Beteiligte Person: | Li, Y. ; Chai, S. ; Zhang, X. ; Wang, G. ; Zhu, R. ; Chung, E. |
Link: | |
Zeitschrift: | IEEE Transactions on Intelligent Transportation Systems, Jg. 24 (2023-12-01), Heft 12, S. 15018-15034 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 1524-9050 (print) ; 1558-0016 (print) |
DOI: | 10.1109/TITS.2023.3305626 |
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