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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 disordered charging of electric vehicles (EVs) in residential areas leads to a rapid increase of the peak load, causing transformer overload, but the charging control of EV group can effectively alleviate this phenomenon. However,…

Systems and Control · Electrical Eng. & Systems 2023-12-19 Heyang Yu , Chuanzi Xu , Weifeng Wang , Guangchao Geng , Quanyuan Jiang

The increasing electrification of human activities and the rapid integration of variable renewable energy sources strain the power grid. A solution to address the need for more grid storage is to use the battery of electric vehicles as a…

Systems and Control · Electrical Eng. & Systems 2025-12-18 Sabri El Amrani , Thibaut Horel , Saurabh Vaishampayan , Maryam Kamgarpour , Munther A. Dahleh

This paper proposes a new convex model predictive control strategy for dynamic optimal power flow between battery energy storage systems distributed in an AC microgrid. The proposed control strategy uses a new problem formulation, based on…

Systems and Control · Computer Science 2017-05-16 Thomas Morstyn , Branislav Hredzak , Ricardo P. Aguilera , Vassilios G. Agelidis

To enable the electrification of transportation systems, it is important to understand how technologies such as grid storage, solar photovoltaic systems, and control strategies can aid the deployment of electric vehicle charging at scale.…

Systems and Control · Electrical Eng. & Systems 2024-01-10 Emmanuel Balogun , Elizabeth Buechler , Siddharth Bhela , Simona Onori , Ram Rajagopal

Plug-in Electric Vehicles (PEVs) are a rapidly developing technology that can reduce greenhouse gas emissions and change the way vehicles obtain power. PEV charging stations will most likely be available at home and at work, and…

Optimization and Control · Mathematics 2011-12-06 Nicole Taheri , Robert Entriken , Yinyu Ye

Envisioning a future 100% electrified transportation sector, this paper uses socio-economic, demographic, and geographic data to assess electric energy demand from commuter traffic. We explore the individual mode choices, which allows to…

Computers and Society · Computer Science 2023-02-21 Jingrong Zhang , Amber Jiang , Brian Newborn , Sara Kou , Robert Mieth

Connected and Automated Vehicles (CAVs) offer significant potential for improving energy efficiency and lowering vehicle emissions through eco-driving technologies. Control algorithms in CAVs leverage look-ahead route information and…

Systems and Control · Electrical Eng. & Systems 2025-10-13 Mehmet Fatih Ozkan , Dennis Kibalama , Jacob Paugh , Marcello Canova , Stephanie Stockar

Dramatic mobile data traffic growth has spurred a dense deployment of small cell base stations (SCBSs). Small cells enhance the spectrum efficiency and thus enlarge the capacity of mobile networks. Although SCBSs consume much less power…

Networking and Internet Architecture · Computer Science 2014-12-18 Tao Han , Nirwan Ansari

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

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

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

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

In the context of transport electrification, a model coupling Electric Vehicles (EV) driving and charging decisions is considered. While a Traffic Assignment Problem (TAP) is considered for the driving part, the charging operation is done…

Systems and Control · Electrical Eng. & Systems 2021-11-15 Benoît Sohet , Yezekael Hayel , Olivier Beaude , Alban Jeandin

Wireless sensor networks consist of randomly distributed sensor nodes for monitoring targets or areas of interest. Maintaining the network for continuous surveillance is a challenge due to the limited battery capacity in each sensor.…

Machine Learning · Computer Science 2023-10-03 Ngoc Bui , Phi Le Nguyen , Viet Anh Nguyen , Phan Thuan Do

This paper presents a coordinated framework to optimize electric vehicle (EV) charging considering grid constraints and system uncertainties. The proposed framework consists of two optimization models. In particular, the distribution system…

Systems and Control · Electrical Eng. & Systems 2025-01-14 Arash Baharvandi , Duong Tung Nguyen

Electrifying heavy-duty trucks offers a substantial opportunity to curtail carbon emissions, advancing toward a carbon-neutral future. However, the inherent challenges of limited battery energy and the sheer weight of heavy-duty trucks lead…

Systems and Control · Electrical Eng. & Systems 2024-05-27 Linyu Liu , Zhen Dai , Shiji Song , Xiaocheng Li , Guanting Chen

Electrified transportation and power systems are mutually coupled networks. In this paper, a novel framework is developed for interdependent power and transportation networks. Our approach constitutes solving an iterative least cost vehicle…

Systems and Control · Computer Science 2017-01-16 M. Hadi Amini , Orkun Karabasoglu

The nexus between transportation, the power grid, and consumer behavior is more pronounced than ever before as the race to decarbonize the transportation sector intensifies. Electrification in the transportation sector has led to technology…

Machine Learning · Computer Science 2021-08-10 Robert Buechler , Emmanuel Balogun , Arun Majumdar , Ram Rajagopal

In recent years, developments in plug in hybrid electric vehicles have provided various environmental and economic advantages. In the future smart grids, electric vehicles are seen as an important means of transportation to reduce…

Optimization and Control · Mathematics 2018-02-13 Shanxuei Chen , Elizabeth Olivioufski , Braian Dods , Mohammd Hamdi