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We propose a forecasting technique based on multi-feature data fusion to enhance the accuracy of an electric vehicle (EV) charging station load forecasting deep-learning model. The proposed method uses multi-feature inputs based on…

Systems and Control · Electrical Eng. & Systems 2023-02-01 Prince Aduama , Zhibo Zhang , Ameena S. Al Sumaiti

The rapid growth of electric vehicles (EVs) requires more effective charging infrastructure planning. Infrastructure layout not only determines deployment cost, but also reshapes charging behavior and influences overall system performance.…

Multiagent Systems · Computer Science 2026-04-30 Jiahua Hu , Hai L. Vu , Wynita Griggs , Hao Wang

With the recent advances in mobile energy storage technologies, electric vehicles (EVs) have become a crucial part of smart grids. When EVs participate in the demand response program, the charging cost can be significantly reduced by taking…

Systems and Control · Electrical Eng. & Systems 2022-10-05 Zixuan Zhang , Yuning Jiang , Yuanming Shi , Ye Shi , Wei Chen

Electric vehicles are a central component of future mobility systems as they promise to reduce local noxious and fine dust emissions and CO2 emissions, if fed by clean energy sources. However, the adoption of electric vehicles so far fell…

Data Structures and Algorithms · Computer Science 2020-12-03 Marianne Guillet , Gerhard Hiermann , Alexander Kröller , Maximilian Schiffer

The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since charging behaviors of EVs show large uncertainties, the…

Systems and Control · Electrical Eng. & Systems 2023-01-25 Yuanzheng Li , Shangyang He , Yang Li , Leijiao Ge , Suhua Lou , Zhigang Zeng

The sustainable growth of EVs will have to be met with proportional growth in EV charging infrastructure. With limited urban spaces to place new charging stations, shrinking profitability, privately owned charging facilities need to be…

Computers and Society · Computer Science 2022-04-05 Md Umar Hashmi , Mohammad Meraj Alam , Ony Lalaina Valerie Ramarozatovo , Mohammad Shadab Alam

Electric vehicle (EV) fleets are expected to become an increasingly important source of flexibility for power system operations. However, accurately capturing the flexibility potential of numerous and heterogeneous EVs remains a significant…

Optimization and Control · Mathematics 2025-10-13 Philipp Härtel , Michael von Bonin

Due to the increasing concern for greenhouse gas emissions and fossil fuel security, electric vehicles (EVs) have attracted much attention in recent years. EVs can aggregate together constituting the vehicle-to-grid system. Coordination of…

Systems and Control · Computer Science 2017-04-26 James J. Q. Yu , Junhao Lin , Albert Y. S. Lam , Victor O. K. Li

In this paper, we consider electric vehicle charging facilities that offer various levels of service for varying prices such that rational users choose a level of service that minimizes the total cost to themselves including an opportunity…

Systems and Control · Electrical Eng. & Systems 2021-11-29 Cesar Santoyo , Gustav Nilsson , Samuel Coogan

Controlled charging of electric vehicles, EVs, is a major potential source of flexibility to facilitate the integration of variable renewable energy and reduce the need for stationary energy storage. To offer system services from EVs, fleet…

Systems and Control · Electrical Eng. & Systems 2025-02-18 Jacob Thrän , Jakub Mareček , Robert N. Shorten , Timothy C. Green

We study the optimal charging strategies for large-scale electric vehicles in smart grids within a finite-horizon mean field game framework. We first establish the existence and uniqueness of the solution to the consistency condition…

Optimization and Control · Mathematics 2025-12-03 Lijun Bo , Fengcheng Liu , Shihua Wang

The successful launch of electric vehicles (EVs) depends critically on the availability of convenient and economic charging facilities. The problem of scheduling of large-scale charging of EVs by a service provider is considered. A Markov…

Optimization and Control · Mathematics 2017-11-09 Zhe Yu , Yunjian Xu , Lang Tong

Currently, the utilization rate of public plug-in electric vehicle (PEV) charging stations is only 15%. During the other 85% of the time, the chargers are either idle or occupied by a fully charged PEV. Strategically switching a fully…

Optimization and Control · Mathematics 2019-01-23 Teng Zeng , Hongcai Zhang , Scott Moura

The global electric car sales in 2020 continued to exceed the expectations climbing to over 3 millions and reaching a market share of over 4%. However, uncertainty of generation caused by higher penetration of renewable energies and the…

Machine Learning · Computer Science 2021-09-21 Vinicius Monteiro de Lira , Fabiano Pallonetto , Lorenzo Gabrielli , Chiara Renso

A key assumption made in this paper is that electric vehicle (EV) battery charging profiles are rectangular. This requires a specific and new formulation of the charging problem, involving discrete action sets for the EVs in particular. The…

Optimization and Control · Mathematics 2015-09-24 Oliver Beaude , Samson Lasaulce , Martin Hennebel , Ibrahim Mohand-Kaci

There is no question to the fact that electric vehicles (EVs) are the most viable solution to the climate change that the planet has long been combating. Along the same line, it is a salient subject to expand the availability of charging…

Systems and Control · Electrical Eng. & Systems 2023-03-20 Seungmo Kim , Yeonho Jeong , Jae-Won Nam

The electric vehicle routing problem (EVRP) has garnered great interest from researchers and industrialists in an attempt to move from fuel-based vehicles to healthier and more efficient electric vehicles (EVs). While it seems that the EVRP…

Neural and Evolutionary Computing · Computer Science 2022-08-29 Kousik Rajesh , Eklavya Jain , Prakash Kotecha

Battery electric freight trains are crucial for decarbonization by providing zero-emission transportation alternatives. The proper adoption of battery electric freight trains depends on an efficient battery electrification strategy,…

Computational Engineering, Finance, and Science · Computer Science 2025-09-15 Jia Guo , Elnaz Irannezhad

The rapid and massive diffusion of electric vehicles poses new challenges to the electric system, which must be able to supply these new loads, but at the same time opens up new opportunities thanks to the possible provision of ancillary…

Robotics · Computer Science 2023-09-21 Federico Bianchi , Alessandro Falsone , Riccardo Vignali

Recharging a plug-in electric vehicle is more time-consuming than refueling an internal combustion engine vehicle. As a result, charging stations may face serious congestion problems during peak traffic hours in the near future with the…

Systems and Control · Computer Science 2017-12-21 Huimiao Chen , Hongcai Zhang , Zechun Hu , Yunyi Liang , Haocheng Luo , Yinhai Wang
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