Enhancing smart city sustainability with explainable federated learning for vehicular energy control

Enhancing smart city sustainability with explainable federated learning for vehicular energy control

Abstract The rise of electric and autonomous vehicles in smart cities poses challenges in vehicular energy management due to un-optimized consumption, inefficient grid use, and unpredictable traffic patterns. Traditional centralized machine learning models and cloud-based Energy Management Systems (...

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Bibliographic Details
Main Authors: Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Vehicular energy management
Explainable federated learning
XAI
Energy management systems (EMSs)
Smart City
Online Access:https://doi.org/10.1038/s41598-025-07844-3
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https://doi.org/10.1038/s41598-025-07844-3

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