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Exploring the convergence of electric vehicles (EVs), renewable energy, and smart grid technologies in the context of Texas, this study addresses challenges hindering the widespread adoption of EVs. Acknowledging their environmental…

Systems and Control · Electrical Eng. & Systems 2023-10-27 Mohammad Mohammadi , Jesse Thornburg

High renewable penetration has been witnessed in power systems, resulting in reduced system inertia and increasing requirements for frequency response services. Electric vehicles (EVs), owing to their vehicle-to-grid (V2G) capabilities, can…

Systems and Control · Electrical Eng. & Systems 2025-07-25 Yi Wang , Dawei Qiu , Fei Teng , Goran Strbac

Accurate, real-time wireless signal prediction is essential for next-generation networks. However, existing vision-based frameworks often rely on computationally intensive models and are also sensitive to environmental interference. To…

Signal Processing · Electrical Eng. & Systems 2026-05-26 Sen Yan , Tianyu Hu , Brahim Mefgouda , Samson Lasaulce , Merouane Debbah

Urban sensing is essential for the development of smart cities, enabling monitoring, computing, and decision-making for urban management.Thanks to the advent of vehicle technologies, modern vehicles are transforming from solely mobility…

Emerging Technologies · Computer Science 2025-12-09 Hui Zhong , Qing-Long Lu , Qiming Zhang , Hongliang Lu , Xinhu Zheng

Despite the rapid expansion of electric vehicle (EV) charging networks, questions remain about their efficiency in meeting the growing needs of EV drivers. Previous simulation-based approaches, which rely on static behavioural rules, have…

Multiagent Systems · Computer Science 2026-02-03 Zixin Feng , Qunshan Zhao , Alison Heppenstall

Rural electrification demands the use of inexpensive technologies such as single wire earth return (SWER) networks. There is a steadily growing energy demand from remote consumers, and the capacity of existing lines may become inadequate…

Signal Processing · Electrical Eng. & Systems 2021-02-08 Tharmakulasingam Sirojan

The global energy landscape is undergoing a profound transformation, often referred to as the energy transition, driven by the urgent need to mitigate climate change, reduce greenhouse gas emissions, and ensure sustainable energy supplies.…

Machine Learning · Computer Science 2025-05-08 Stavros Sykiotis

Electric vehicle charging demand prediction is important for vacant charging pile recommendation and charging infrastructure planning, thus facilitating vehicle electrification and green energy development. The performance of previous…

Machine Learning · Computer Science 2024-11-28 Haoxuan Kuang , Kunxiang Deng , Linlin You , Jun Li

Power systems are critical infrastructure for reliable and secure electric energy delivery. Incidents are increasing, as unexpected multiple hazards ranging from natural disasters to cyberattacks threaten the security and functionality of…

Systems and Control · Electrical Eng. & Systems 2023-10-03 Hao Huang , Zeyu Mao , Varuneswara Panyam , Astrid Layton , Katherine Davis

Electric vehicles (EVs) have been gaining popularity due to their environmental friendliness and efficiency. EV charging station networks are scalable solutions for supporting increasing numbers of EVs within modern electric grid…

Machine Learning · Computer Science 2018-04-04 Anshul Ramachandran , Ashwin Balakrishna , Peter Kundzicz , Anirudh Neti

The surging usage of electric vehicles (EVs) demand the robust deployment of trustworthy electric vehicle charging station (EVCS) with millisecond range latency and massive machine to machine communications where 5G could act. However, 5G…

Systems and Control · Electrical Eng. & Systems 2021-09-08 Manoj Basnet , M. Hasan Ali

In this paper, we propose a robust optimization model that addresses both the cost-efficiency and fast charging requirements for electric vehicles (EVs) at charging stations. By combining elements from traditional cost-minimization models…

Systems and Control · Electrical Eng. & Systems 2025-02-07 Trung Duc Tran , Ngoc-Doanh Nguyen , Hong T. M. Chu , Laurent El Ghaoui , Luca Ambrosino , Giuseppe Calafiore

Multispectral imaging plays a critical role in a range of intelligent transportation applications, including advanced driver assistance systems (ADAS), traffic monitoring, and night vision. However, accurate visible and thermal (RGB-T)…

Computer Vision and Pattern Recognition · Computer Science 2025-04-18 Xi Tong , Xing Luo , Jiangxin Yang , Yanpeng Cao

This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV) charging systems under configurable infrastructure and operational conditions. The model integrates heterogeneous EV…

Artificial Intelligence · Computer Science 2026-05-01 Khalil Al-Rahman Youssefi , Marija Gojkovic , Walter Stefanutti , Mika Auer , Melanie Schranz

Data collected by different modalities can provide a wealth of complementary information, such as hyperspectral image (HSI) to offer rich spectral-spatial properties, synthetic aperture radar (SAR) to provide structural information about…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Jiaqi Yang , Bo Du , Rong Liu , Zhu Mao , Liangpei Zhang

In order to foster electric vehicle (EV) adoption, there is a strong need for designing and developing charging stations that can accommodate different customer classes, distinguished by their charging preferences, needs, and technologies.…

Optimization and Control · Mathematics 2015-02-06 Islam Safak Bayram , Ali Tajer , Mohamed Abdallah , Khalid Qaraqe

Global warming leads the world to think of a different way of transportation: avoiding internal combustion engines and electrifying the transportation sector. With a high penetration of electric vehicle (EV) charging stations on an existing…

Systems and Control · Electrical Eng. & Systems 2021-11-15 A. Samson Mogos , Samuele Grillo

Increasing the adoption of Electric Vehicles (EV) is an integral part of many strategies to address climate change and air pollution. However, Electric Vehicle adoption rates are inhibited by several factors which reduce the confidence of…

Optimization and Control · Mathematics 2023-06-21 Johnny Tiu , Shankar Ramharack , Patrick Hosein

As the number of electric vehicles (EVs) continues to grow, the demand for charging stations is also increasing, leading to challenges such as long wait times and insufficient infrastructure. High-precision forecasting of EV charging demand…

Systems and Control · Electrical Eng. & Systems 2025-02-25 Saba Sanami , Hesam Mosalli , Yu Yang , Hen-Geul Yeh , Amir G. Aghdam

In the pursuit of energy net zero within smart cities, transportation electrification plays a pivotal role. The adoption of Electric Vehicles (EVs) keeps increasing, making energy management of EV charging stations critically important.…

Systems and Control · Electrical Eng. & Systems 2025-05-27 Jiarong Fan , Chenghao Huang , Hao Wang