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We study a real-time smart charging algorithm for electric vehicles (EVs) at a workplace parking lot in order to minimize electricity cost from time-of-use electricity rates and demand charges while ensuring that the owners of the EVs…

Systems and Control · Electrical Eng. & Systems 2022-03-15 Nathaniel Tucker , Gustavo Cezar , Mahnoosh Alizadeh

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

For electrifying the transportation sector, deploying a strategically planned and efficient charging infrastructure is essential. This paper presents a two-phase approach for electric vehicle (EV) charger deployment that integrates spatial…

Systems and Control · Electrical Eng. & Systems 2025-09-30 Harshal D. Kaushik , Jingbo Wang , Roshni Anna Jacob , Jie Zhang

Accurate forecasting of electric vehicle (EV) charging demand is critical for grid stability, infrastructure planning, and real-time charging optimization. In this work, we study the problem of early prediction of charging demand, where the…

Machine Learning · Computer Science 2026-05-07 Vasilis Perifanis , Foteini Nikolaidou , Nikolaos Pavlidis , Panagiotis Thomakos , Andreas Sendros

With the popularization of the electric vehicles (EVs), EV charging demand is becoming an important load in the building. Considering the mobility of EVs from building to building and their uncertain charging demand, it is of great…

Systems and Control · Electrical Eng. & Systems 2022-09-07 Qilong Huang , Li Yang , Chen Hou , Zhiyong Zeng , Yaowen Qi

Here, we develop a data-centric approach enabling to analyse which activities, function, and characteristics of the environment surrounding the slow charging infrastructure impact the distribution of the electricity consumed at slow…

Applications · Statistics 2020-06-04 Milan Straka , Rui Carvalho , Gijs van der Poel , Ľuboš Buzna

Replacing a fossil fuel-powered car with an electric model can halve greenhouse gas emissions over the course of the vehicle's lifetime and reduce the noise pollution in urban areas. In green logistics, a well-scheduled charging ensures an…

Multiagent Systems · Computer Science 2021-03-16 Luyang Hou , Chun Wang , Jun Yan

This paper explores the impact of electric vehicles (EVs) on traffic congestion and energy consumption by proposing an integrated bi-level framework comprising of: a) a dynamic micro-scale traffic simulation suitable for modelling current…

Systems and Control · Electrical Eng. & Systems 2021-10-28 Artur Grigorev , Tuo Mao , Adam Berry , Joachim Tan , Loki Purushothaman , Adriana-Simona Mihaita

Planning to support widespread transportation electrification depends on detailed estimates for the electricity demand from electric vehicles in both uncontrolled and controlled or smart charging scenarios. We present a modeling approach to…

Systems and Control · Electrical Eng. & Systems 2021-05-27 Siobhan Powell , Gustavo Vianna Cezar , Elpiniki Apostolaki-Iosifidou , Ram Rajagopal

The increased digitalisation and monitoring of the energy system opens up numerous opportunities to decarbonise the energy system. Applications on low voltage, local networks, such as community energy markets and smart storage will…

With recent developments in vehicle and battery technologies, electric vehicles (EVs) are rapidly getting established as a sustainable alternative to traditional fossil-fuel vehicles. This has made the large-scale electrification of…

Systems and Control · Electrical Eng. & Systems 2023-02-27 Linji Chen , Homayoun Hamedmoghadam , Mahdi Jalili , Mohsen Ramezani

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

Electric vehicles (EVs) and unmanned aerial vehicles (UAVs) show great potential in modern transportation and communication networks, respectively. However, with growing demands for such technologies, the limited energy infrastructure…

Systems and Control · Electrical Eng. & Systems 2022-08-16 Yujie Qin , Mustafa A. Kishk , Mohamed-Slim Alouini

The operation of the power grid is becoming more stressed, due to the addition of new large loads represented by Electric Vehicles (EVs) and a more intermittent supply due to the incorporation of renewable sources. As a consequence, the…

Optimization and Control · Mathematics 2016-11-15 Islam Safak Bayram , George Michailidis , Michael Devetsikiotis

The public transport sector is in the process of decarbonizing by electrifying its bus fleets. This results in challenges if the high electricity demand resulting from battery charging demand is confronted with limited grid capacity and…

Optimization and Control · Mathematics 2025-04-09 Leoni Winschermann , Leander C. van der Bijl , Marco E. T. Gerards , Johann Hurink

Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The successful adoption of EVs heavily depends on energy consumption models that can accurately and reliably estimate electricity consumption.…

Systems and Control · Electrical Eng. & Systems 2021-02-23 Yuche Chen , Guoyuan Wu , Ruixiao Sun , Abhishek Dubey , Aron Laszka , Philip Pugliese

Electrification of vehicles is a potential way of reducing fossil fuel usage and thus lessening environmental pollution. Electric Vehicles (EVs) of various types for different transport modes (including air, water, and land) are evolving.…

Machine Learning · Computer Science 2024-09-19 Mohammad Wazed Ali , Asif bin Mustafa , Md. Aukerul Moin Shuvo , Bernhard Sick

The increasing market penetration of electric vehicles (EVs) may pose significant electricity demand on power systems. This electricity demand is affected by the inherent uncertainties of EVs' travel behavior that makes forecasting the…

Machine Learning · Computer Science 2021-06-15 Sina Baghali , Samiul Hasan , Zhaomiao Guo

The transition to Electric Vehicles (EVs) demands intelligent, congestion-aware infrastructure planning to balance user convenience, economic viability, and traffic efficiency. We present a joint optimisation framework for EV Charging…

Multiagent Systems · Computer Science 2026-03-24 Niloofar Aminikalibar , Farzaneh Farhadi , Maria Chli

Electric vehicles (EVs) play an important role in reducing carbon emissions. As EV adoption accelerates, safety issues caused by EV batteries have become an important research topic. In order to benchmark and develop data-driven methods for…