Electric Vehicle Charging

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3 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Uncovering Residential PV-EV Co-Adoption from Smart-Meter Data: Load Archetypes and Detection for Demand-Side Planning

    Sep 23, 2026Jack Zheng, Hao WangNon-Intrusive Load MonitoringElectric Vehicle Charging

    Department of Data Science and AI, Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia · Monash Energy Institute, Monash University, Melbourne, Victoria, Australia

  2. Synthetic Electric Vehicle Charging Session Generation Using a Conditional Variational Autoencoder

    Sep 15, 2026Graeme Kelly, Emilio J. Palacios-Garcia, Barry P. HayesSynthetic Data GenerationElectric Vehicle Charging

    School of Engineering and Architecture, University College Cork, Cork, Ireland · MaREI Centre, Sustainability Institute, University College Cork, Cork, Ireland

  3. Emergent Charging Coordination in Electric Delivery Fleets

    Sep 7, 2026Javier Vales-Alonso, Juan J. AlcarazMulti-Agent CoordinationElectric Vehicle Charging

    Department of Information and Communication Technologies, Universidad Politécnica de Cartagena, Cartagena, Spain

  4. Benchmarking Cyberattack Detection in Electric Vehicle Charging Infrastructure with Benign User Updates

    Aug 11, 2026Hannan Chen, Roshni Anna Jacob, Jie ZhangIoT Intrusion DetectionElectric Vehicle Charging

    Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA

  5. A Multi-Objective AutoML-based Efficient Intrusion Detection System for EV Charging Networks

    Aug 3, 2026Li YangNetwork Intrusion DetectionElectric Vehicle Charging

    Ontario Tech University, Oshawa, Ontario, Canada · Western University, London, Ontario, Canada

  6. HetGPS: Scalable Graph Multi-Agent Reinforcement Learning with Physics-Anchored Adaptive Safety for EV Charging

    Aug 1, 2026Xiangwei Wang, Nanduni Nimalsiri, Yu Xia +2Electric Vehicle ChargingSafe RL

    The University of Melbourne, Australia · CSIRO, Australia · Shanghai Jiao Tong University, China

  7. Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility

    Jul 23, 2026Cande Lian, Wentao Zeng, Jiabin Wu +2Ensemble LearningConditional Average Treatment Effect Estimation

    School of Management, Foshan University, Foshan, China · School of Management, Foshan University, Foshan 528000, China · School of Mathematics, Foshan University, Foshan 528000, China +5

  8. Robust Chance-Constrained Optimization using a Continuous Parameter Space Wasserstein-2 Ambiguity Set of Gaussian Mixtures

    Jul 19, 2026Shibshankar Dey, Sanjay MehrotraChance-Constrained OptimizationGaussian Mixture Models

    Department of Industrial Engineering and Management Sciences, Northwestern University

  9. Smart charging of large fleets of Electric Vehicles: Independent Multi-Agent Reinforcement Learning approaches

    Jun 30, 2026Xavier Rate, Eloann Le Guern, Raphaël Féraud +8Multi-Agent CoordinationElectric Vehicle Charging

    Orange · ENS Rennes · IMT Atlantique +1

  10. Model Predictive Current Control with Harmonic Correction for Single-Phase AC-DC EV Charging

    Jun 29, 2026Changhong Li, Bharathkumar Hegde, Biswajit Basu +1Electric Vehicle ChargingModel Predictive Control

    Reconfigurable Computing Systems Lab, Electronic & Electrical Engineering Trinity College Dublin, Ireland · Reconfigurable Computing Systems Lab, Electronic &Electrical Engineering Trinity College Dublin, Ireland

  11. GDGU: A Gradient Difference-based Graph Unlearning Method for Cyberattack Localization in Electric Vehicle Charging Networks

    Jun 17, 2026Nanhong Liu, Mucun Sun, Jie ZhangGraph Neural NetworksElectric Vehicle Charging

    Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA · Idaho National Laboratory, Idaho Falls, ID 83415, USA · Department of Mechanical Engineering and (Affilated) Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA

  12. Forecasting what Matters: Decision-Focused RL for Controlled EV Charging with Unknown Departure Times

    Jun 17, 2026Giuseppe Gabriele, Fabio Pavirani, Seyed Soroush Karimi Madahi +1RL ControlElectric Vehicle Charging

    Ghent University – imec Ghent, Belgium

  13. Emission-Aware Reinforcement Learning for Sustainable Electric Vehicle Charging and Carbon Dioxide Reduction Under Varying Renewable Penetration

    May 23, 2026Ninglin Ou, Mohammad A. Razzaque, Iftekher Islam Shovon +5RL ControlMulti-Objective Reinforcement Learning

    anasc Research, School of Computer Science & IT, University College Cork, IE · School of Computing, Engineering and Digital Technologies, Teesside University, UK · International Energy Research Centre, Tyndall National Institute, Cork, IE +1

  14. Planning, Scheduling, and Behavior in EV Charging Systems: A Critical Survey and Trilemma Framework

    May 20, 2026Peiyan Xiao, Yuheng Li, Ayan Mukhopadhyay +3Intelligent Transportation SystemsElectric Vehicle Charging

    The College of William & Mary, Williamsburg, VA, USA · University of Georgia, Athens, GA, USA · University of Louisville, Louisville, KY, USA

  15. Dynamic Deployment of Mobile Charging Trucks During Natural Disaster Evacuation: An Offline-to-Online Framework

    May 16, 2026Rui Ma, Zilin Bian, Kaan OzbayElectric Vehicle ChargingVehicle Routing

    New York University · Rochester Institute of Technology

  16. Federated Learning for Early Prediction of EV Charging Demand

    May 6, 2026Vasilis Perifanis, Foteini Nikolaidou, Nikolaos Pavlidis +2Electric Vehicle ChargingSpatiotemporal Forecasting

    Indigma Innovations

  17. A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

    Apr 30, 2026Khalil Al-Rahman Youssefi, Marija Gojkovic, Walter Stefanutti +2Electric Vehicle ChargingAgent-Based Modeling

    Lakeside Labs, Lakeside Park B04b, Klagenfurt, Austria · Alpen-Adria-Universität, Universitätsstraße 65–67, Klagenfurt, Austria · Silicon Austria Labs, Power Electronics division, High Tech Campus Villach - Europastraße 12, Austria

  18. Learning to Route Electric Trucks Under Operational Uncertainty

    Apr 29, 2026Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang +4Sequential Decision MakingElectric Vehicle Charging

    Delft University of Technology, Intelligent Electrical Power Grids, Delft, The Netherlands · Massachusetts Institute of Technology, Center of Transportation and Logistics, Cambridge, MA, United States of America · Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge, MA, United States of America

  19. A Distributionally Robust Reinforcement Learning Framework for Constrained Urban EV Dispatch

    Apr 28, 2026An Nguyen, Hoang Nguyen, Phuong Le +3Electric Vehicle ChargingConstrained RL

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · Center for Environmental Intelligence, VinUniversity, Hanoi, Vietnam

  20. Spatio-temporal modelling of electric vehicle charging demand

    Apr 21, 2026Kaoutar Bouaachra, Yvenn Amara-Ouali, Yannig Goude +1Electric Vehicle ChargingSpatiotemporal Forecasting

    École Polytechnique de Paris · EDF Lab Paris-Saclay Palaiseau, France · INRIA Paris, DYOGENE/MATHNET Team

  21. Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks

    Apr 30, 2024Yi Li, Renyou Xie, Chaojie Li +2Byzantine-Robust Federated LearningElectric Vehicle Charging

    College of Electronic and Information Engineering, Southwest University · Department of Electrical Engineering, City University of Hong Kong, Hong Kong · Department of Electrical and Electronic Engineering, the University of Hong Kong, Hong Kong