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This paper presents a method for load balancing and dynamic pricing in electric vehicle (EV) charging networks, utilizing reinforcement learning (RL) to enhance network performance. The proposed framework integrates a pre-trained graph…

Systems and Control · Electrical Eng. & Systems 2025-03-11 Hesam Mosalli , Saba Sanami , Yu Yang , Hen-Geul Yeh , Amir G. Aghdam

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

With the recent advances in mobile energy storage technologies, electric vehicles (EVs) have become a crucial part of smart grids. When EVs participate in the demand response program, the charging cost can be significantly reduced by taking…

Systems and Control · Electrical Eng. & Systems 2022-10-05 Zixuan Zhang , Yuning Jiang , Yuanming Shi , Ye Shi , Wei Chen

In the context of charging electric vehicles (EVs), the price-based demand response (PBDR) is becoming increasingly significant for charging load management. Such response usually encourages cost-sensitive customers to adjust their energy…

Systems and Control · Electrical Eng. & Systems 2024-04-17 Chengyang Gu , Yuxin Pan , Ruohong Liu , Yize Chen

This paper presents a dynamic pricing and energy management framework for electric vehicle (EV) charging service providers. To set the charging prices, the service providers faces three uncertainties: the volatility of wholesale electricity…

Signal Processing · Electrical Eng. & Systems 2018-01-10 Chao Luo , Yih-Fang Huang , Vijay Gupta

The extraordinary electric vehicle (EV) popularization in the recent years has facilitated research studies in alleviating EV energy charging demand. Previous studies primarily focused on the optimizations over charging stations (CS) profit…

Multiagent Systems · Computer Science 2024-06-18 Tianhao Bu , Hang Li , Guojie Li

The electric vehicle (EV) and electric vehicle charging station (EVCS) have been widely deployed with the development of large-scale transportation electrifications. However, since charging behaviors of EVs show large uncertainties, the…

Systems and Control · Electrical Eng. & Systems 2023-01-25 Yuanzheng Li , Shangyang He , Yang Li , Leijiao Ge , Suhua Lou , Zhigang Zeng

The rapid growth of decentralized energy resources and especially Electric Vehicles (EV), that are expected to increase sharply over the next decade, will put further stress on existing power distribution networks, increasing the need for…

Machine Learning · Computer Science 2023-10-16 Christoforos Menos-Aikateriniadis , Stavros Sykiotis , Pavlos S. Georgilakis

Due to the centralization of charging stations (CSs), CSs are organized as charging station alliances (CSAs) in the commercial competition. Under this situation, this paper studies the profit-oriented dynamic pricing strategy of CSAs. As…

Systems and Control · Electrical Eng. & Systems 2024-08-14 Zeyu Liu , Yun Zhou , Donghan Feng , Shaolun Xu , Yin Yi , Hengjie Li , Haojing Wang

This paper studies the problem of stochastic dynamic pricing and energy management policy for electric vehicle (EV) charging service providers. In the presence of renewable energy integration and energy storage system, EV charging service…

Signal Processing · Electrical Eng. & Systems 2018-01-09 Chao Luo , Yih-Fang Huang , Vijay Gupta

New forms of on-demand transportation such as ride-hailing and connected autonomous vehicles are proliferating, yet are a challenging use case for electric vehicles (EV). This paper explores the feasibility of using deep reinforcement…

Systems and Control · Electrical Eng. & Systems 2019-12-10 Jacob F. Pettit , Ruben Glatt , Jonathan R. Donadee , Brenden K. Petersen

Electric vehicle (EV) charging stations represent a substantial load with significant flexibility. The exploitation of that flexibility in demand response (DR) algorithms becomes increasingly important to manage and balance demand and…

Artificial Intelligence · Computer Science 2022-03-04 Manu Lahariya , Nasrin Sadeghianpourhamami , Chris Develder

Power sector decarbonization plays a vital role in the upcoming energy transition towards a more sustainable future. Decentralized energy resources, such as Electric Vehicles (EV) and solar photovoltaic systems (PV), are continuously…

This paper addresses the problem of optimizing charging/discharging schedules of electric vehicles (EVs) when participate in demand response (DR). As there exist uncertainties in EVs' remaining energy, arrival and departure time, and future…

Artificial Intelligence · Computer Science 2022-09-21 Guibin. Chen , Xiaoying. Shi

High-powered electric vehicle (EV) charging can significantly increase charging costs due to peak-demand charges. This paper proposes a novel charging algorithm which exploits typically long plugin sessions for domestic chargers and reduces…

Systems and Control · Electrical Eng. & Systems 2022-06-24 Vladimir Dyo

This paper introduces a novel model for online dynamic pricing of electric vehicle charging services that integrates reservation, parking, and charging into a comprehensive bundle priced as a whole. Our approach focuses on the individual…

Multiagent Systems · Computer Science 2025-04-29 Jan Mrkos , Antonín Komenda , David Fiedler , Jiří Vokřínek

This dissertation is to study the interplay between large-scale electric vehicle (EV) charging and the power system. We address three important issues pertaining to EV charging and integration into the power system: (1) charging station…

Econometrics · Economics 2018-08-20 Chao Luo

Dynamic pricing is a promising strategy to address the challenges of smart charging, as traditional time-of-use (ToU) rates and stationary pricing (SP) do not dynamically react to changes in operating conditions, reducing revenue for…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-27 Arun Kumar Kalakanti , Shrisha Rao

This paper considers the problem of charging station pricing and plug-in electric vehicles (PEVs) station selection. When a PEV needs to be charged, it selects a charging station by considering the charging prices, waiting times, and travel…

Computer Science and Game Theory · Computer Science 2015-12-01 Wei Yuan , Jianwei Huang , Ying Jun Zhang

Electric Vehicle (EV) charging recommendation that both accommodates user preference and adapts to the ever-changing external environment arises as a cost-effective strategy to alleviate the range anxiety of private EV drivers. Previous…

Machine Learning · Computer Science 2022-10-25 Chengyin Li , Zheng Dong , Nathan Fisher , Dongxiao Zhu
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