Secure electric vehicle charging station demand forecasting under adversarial and false data injection attacks

Forecasting the charging demand of electric vehicle charging stations (EVCSs) is critical for urban planning, resource allocation, policy development, and efficient grid management. However, reliance on sensor-collected data transmitted through various communication channels poses significant cybers...

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Bibliografische gegevens

Hoofdauteurs:	Najmul Alam, M.A. Rahman, Md. Arafat Hossain, Md. Rashidul Islam
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Elsevier 2025-11-01
Reeks:	Engineering Science and Technology, an International Journal
Onderwerpen:	Electric vehicle (EV) Electric vehicle charging station (EVCS) Adversarial attack False data injection (FDI) attack Forecasting
Online toegang:	http://www.sciencedirect.com/science/article/pii/S2215098625002587
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