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This paper studies charging scheduling problem of electric vehicles (EVs) in the scale of a microgrid (e.g., a university or town) where a set of charging stations are controlled by a central aggregator. A bi-objective optimization problem…

Systems and Control · Computer Science 2016-06-07 Hwei-Ming Chung , Bahram Alinia , Noel Crespi , Chao-Kai Wen

The growing integration of renewable energy sources in modern power systems has introduced significant operational challenges due to their intermittent and uncertain outputs. In recent years, mobile energy storage systems (ESSs) have…

Systems and Control · Electrical Eng. & Systems 2025-07-22 Jun Kang Yap , Vishnu Monn Baskaran , Wen Shan Tan , Ze Yang Ding , Hao Wang , David L. Dowe

Electric vehicles (EVs) can be considered as flexible mobile battery storages in microgrids. For multiple microgrids in an area, coordinated scheduling on charging and discharging are required to avoid power exchange spikes between the…

Optimization and Control · Mathematics 2016-02-25 Dai Wang , Xiaohong Guan , Jiang Wu , Pan Li , Peng Zan , Hui Xu

In this paper, we propose a control framework for a battery energy storage system to provide simultaneously multiple services to the electrical grid. The objective is to maximise the battery exploitation from these services in the presence…

Signal Processing · Electrical Eng. & Systems 2018-10-15 Emil Namor , Fabrizio Sossan , Rachid Cherkaoui , Mario Paolone

In response to global warming and energy shortages, there has been a significant shift towards integrating renewable energy sources, energy storage systems, and electric vehicles. Deploying electric vehicles within smart grids offers a…

Systems and Control · Electrical Eng. & Systems 2025-02-18 Mehrshad Shokati , Parisa Mohammadi , Atoosa Amirinian

The global transition to battery electric buses (EBs) presents an opportunity to reduce air and noise pollution in urban areas. However, the adoption of EBs introduces challenges related to limited driving range, extended charging times,…

Optimization and Control · Mathematics 2025-03-26 Léa Ricard , Guy Desaulniers , Andrea Lodi , Louis-Martin Rousseau

Dockless electric micro-mobility services (e.g., shared e-scooters and e-bikes) have been increasingly popular in the recent decade, and a variety of charging technologies have emerged for these services. The use of charging stations,…

Optimization and Control · Mathematics 2025-01-22 Yining Liu , Yanfeng Ouyang

Truck platooning is a promising technology that enables trucks to travel in formations with small inter-vehicle distances for improved aerodynamics and fuel economy. The real-world transportation system includes a vast number of trucks…

Systems and Control · Electrical Eng. & Systems 2023-07-25 Ting Bai , Alexander Johansson , Karl Henrik Johansson , Jonas Mårtensson

Electric vehicle (EV) charging stations have experienced rapid growth, whose impacts on the power grid have become non-negligible. Though charging stations can install energy storage to reduce their impacts on the grid, the conventional…

Systems and Control · Electrical Eng. & Systems 2023-03-21 Dongxiang Yan , Yue Chen

The widespread adoption of Electric Vehicles (EVs) is limited by their reliance on batteries with presently low energy and power densities compared to liquid fuels and are subject to aging and performance deterioration over time. For this…

Machine Learning · Computer Science 2022-06-17 Khaled Sidahmed Sidahmed Alamin , Yukai Chen , Enrico Macii , Massimo Poncino , Sara Vinco

Urban demand forecasting plays a critical role in optimizing routing, dispatching, and congestion management within Intelligent Transportation Systems. By leveraging data fusion and analytics techniques, traffic demand forecasting serves as…

Machine Learning · Computer Science 2026-02-19 Antonios Tziorvas , George S. Theodoropoulos , Yannis Theodoridis

Taxi demand prediction is an important building block to enabling intelligent transportation systems in a smart city. An accurate prediction model can help the city pre-allocate resources to meet travel demand and to reduce empty taxis on…

Machine Learning · Computer Science 2018-02-28 Huaxiu Yao , Fei Wu , Jintao Ke , Xianfeng Tang , Yitian Jia , Siyu Lu , Pinghua Gong , Jieping Ye , Zhenhui Li

With growing interest in sustainable logistics, electric vehicle (EV)-based deliveries offer a promising alternative for urban distribution. However, EVs face challenges due to their limited battery capacity, requiring careful planning for…

Artificial Intelligence · Computer Science 2025-08-05 Arindam Khanda , Anurag Satpathy , Amit Jha , Sajal K. Das

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

Increased electrification of energy end-usage can lead to network congestion during periods of high consumption. Flexibility of loads, such as aggregate smart charging of Electric Vehicles (EVs), is increasingly leveraged to manage grid…

Systems and Control · Electrical Eng. & Systems 2025-01-30 Nanda Kishor Panda , Peter Palensky , Simon H. Tindemans

The problem of maximizing the probability of two trucks being coordinated to merge into a platoon on a highway is considered. Truck platooning is a promising technology that allows heavy vehicles to save fuel by driving with small…

Systems and Control · Computer Science 2017-05-12 Sebastian van de Hoef , Karl H. Johansson , Dimos V. Dimarogonas

Vehicle platooning facilitates the partial automation of vehicles and can significantly reduce fuel consumption. Mobile communication infrastructure makes it possible to dynamically coordinate the formation of platoons en route. We consider…

Systems and Control · Computer Science 2016-02-25 Sebastian van de Hoef , Karl H. Johansson , Dimos V. Dimarogonas

Growth of intermittent renewable energy and climate change make it increasingly difficult to manage electricity demand variability. Centralized storage can help but is costly. An alternative is to shift demand. Cooling and heating demands…

Systems and Control · Electrical Eng. & Systems 2024-02-23 Michael J. Roberts , Sisi Zhang , Eleanor Yuan , James Jones , Matthias Fripp

The uptake of battery electric vehicles (BEVs) is increasing to reduce greenhouse gas emissions in the transport sector. The rapid adoption of BEVs depends significantly on the coordinated charging/discharging infrastructure. Without it,…

Systems and Control · Electrical Eng. & Systems 2025-09-23 Saman Mehrnia , Hui Song , Nameer Al Khafaf , Mahdi Jalili , Lasantha Meegahapola , Brendan McGrath

In this work, we address the problem of long-distance navigation for battery electric vehicles (BEVs), where one or more charging sessions are required to reach the intended destination. We consider the availability and performance of the…

Machine Learning · Computer Science 2023-01-19 Niklas Åkerblom , Morteza Haghir Chehreghani
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