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The rapid expansion of electric vehicles (EVs) has rendered the load forecasting of electric vehicle charging stations (EVCS) increasingly critical. The primary challenge in achieving precise load forecasting for EVCS lies in accounting for…

Systems and Control · Electrical Eng. & Systems 2024-06-14 Zongbao Zhang , Jiao Hao , Wenmeng Zhao , Yan Liu , Yaohui Huang , Xinhang Luo

With the growing popularity of electric vehicles as a means of addressing climate change, concerns have emerged regarding their impact on electric grid management. As a result, predicting EV charging demand has become a timely and important…

Machine Learning · Computer Science 2026-04-01 Iason Kyriakopoulos , Yannis Theodoridis

The growing penetration of electric vehicles (EVs) significantly changes typical load curves in smart grids. With the development of fast charging technology, the volatility of EV charging demand is increasing, which requires additional…

Systems and Control · Electrical Eng. & Systems 2024-11-05 Kedi Zheng , Hanwei Xu , Zeyang Long , Yi Wang , Qixin Chen

Electric vehicles can offer a low carbon emission solution to reverse rising emission trends. However, this requires that the energy used to meet the demand is green. To meet this requirement, accurate forecasting of the charging demand is…

Machine Learning · Computer Science 2021-06-22 Frederik Boe Hüttel , Inon Peled , Filipe Rodrigues , Francisco C. Pereira

Electric Vehicle (EV) fast charging stations require forecasting techniques both at the single charger level and aggregated level. While for the latter several models exist, forecasting individual EV charging profiles is still underexplored…

Systems and Control · Electrical Eng. & Systems 2026-05-19 Riccardo Ramaschi , Mario Paolone , Sonia Leva

To support the adoption of electric transport systems, public charging opportunities are becoming increasingly important. In this dynamic environment, a central challenge for route planning and charging scheduling is forecasting…

Systems and Control · Electrical Eng. & Systems 2026-05-27 Joas Kahlert , Ruiting Wang , Jonas Mårtensson

Along with the proliferation of electric vehicles (EVs), optimizing the use of EV charging space can significantly alleviate the growing load on intelligent transportation systems. As the foundation to achieve such an optimization, a…

Machine Learning · Computer Science 2024-10-28 Haohao Qu , Haoxuan Kuang , Jun Li , Linlin You

Accurate forecasting of electric vehicle (EV) charging demand is critical for grid management and infrastructure planning. Yet the field continues to rely on legacy benchmarks; such as the Palo Alto (2020) dataset; that fail to reflect the…

Applications · Statistics 2026-04-23 Kaoutar Bouaachra , Yvenn Amara-Ouali , Yannig Goude , Raphaël Lachieze-Rey

Charging demands of electric vehicles (EVs) are sharply increasing due to the rapid development of EVs. Hence, reliable and convenient quick charge stations are required to respond to the needs of EV drivers. Due to the uncertainty of EV…

Systems and Control · Electrical Eng. & Systems 2019-09-04 Zeyu Liu , Yaxin Xie , Donghan Feng , Yun Zhou , Shanshan Shi , Chen Fang

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

Hosting capacity (HC) assessment for electric vehicles (EVs) is crucial for EV secure integration and reliable power system operation. Existing methods primarily focus on a long-term perspective (e.g., system planning), and consider the EV…

Optimization and Control · Mathematics 2025-06-16 Yingrui Zhuang , Lin Cheng , Ning Qi , Xinyi Wang , Yue Chen

The rapid growth of EVs and the subsequent increase in charging demand pose significant challenges for load grid scheduling and the operation of EV charging stations. Effectively harnessing the spatiotemporal correlations among EV charging…

Signal Processing · Electrical Eng. & Systems 2025-06-05 Hang Fan , Mingxuan Li , Jingshi Cui , Zuhan Zhang , Wencai Run , Dunnan Liu

Transportation remains a major contributor to greenhouse gas emissions, highlighting the urgency of transitioning toward sustainable alternatives such as electric vehicles (EVs). Yet, uneven spatial distribution and irregular utilization of…

Machine Learning · Computer Science 2025-11-10 Jose Tupayachi , Mustafa C. Camur , Kevin Heaslip , Xueping Li

The widespread diffusion of electric mobility requires a contextual expansion of the charging infrastructure. An extended collection and processing of information regarding charging of electric vehicles may turn each electric vehicle…

Machine Learning · Computer Science 2021-04-27 Francesca Soldan , Enea Bionda , Giuseppe Mauri , Silvia Celaschi

Electric vehicles (EVs) have the potential to reduce grid stress through smart charging strategies while simultaneously meeting user demand. This requires accurate forecasts of key charging parameters, such as energy demand and connection…

Systems and Control · Electrical Eng. & Systems 2025-08-26 Parnian Alikhani , Nico Brinkel , Wouter Schram , Ioannis Lampropoulos , Wilfried van Sark

The decarbonization of transportation relies on the widespread adoption of electric vehicles (EVs), which requires an accurate understanding of charging behavior to ensure cost-effective, grid-resilient infrastructure. Existing work is…

Machine Learning · Computer Science 2025-11-19 Kshitij Nikhal , Lucas Ackerknecht , Benjamin S. Riggan , Phillip Stahlfeld

Mitigating cybersecurity risk in electric vehicle (EV) charging demand forecasting plays a crucial role in the safe operation of collective EV chargings, the stability of the power grid, and the cost-effective infrastructure expansion.…

Cryptography and Security · Computer Science 2024-05-03 Yi Li , Renyou Xie , Chaojie Li , Yi Wang , Zhaoyang Dong

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

Electric Vehicle (EV) sharing systems have recently experienced unprecedented growth across the globe. Many car sharing service providers as well as automobile manufacturers are entering this competition by expanding both their EV fleets…

Artificial Intelligence · Computer Science 2019-05-14 Man Luo , Hongkai Wen , Yi Luo , Bowen Du , Konstantin Klemmer , Hongming Zhu

The transport sector is a major contributor to greenhouse gas emissions in Europe. Shifting to electric vehicles (EVs) powered by a low-carbon energy mix would reduce carbon emissions. However, to support the development of electric…

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