Relevant bibliographies by topics / Charging Station (CS)

Contents

  1. Journal articles
  2. Book chapters
  3. Conference papers
  4. Reports

Academic literature on the topic 'Charging Station (CS)'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Charging Station (CS).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Charging Station (CS)"

1

Wu, Andrew Y., Juai Wu, and Yui-yip Lau. "Multi-Stage Hybrid Planning Method for Charging Stations Based on Graph Auto-Encoder." Electronics 14, no. 1 (2024): 114. https://doi.org/10.3390/electronics14010114.

Full text
Abstract:
To improve the operational efficiency of electric vehicle (EV) charging infrastructure, this paper proposes a multi-stage hybrid planning method for charging stations (CSs) based on graph auto-encoder (GAE). First, the network topology and dynamic interaction process of the coupled “Vehicle-Station-Network” system are characterized as a graph-structured model. Second, in the first stage, a GAE-based deep neural network is used to learn the graph-structured model and identify and classify different charging station (CS) types for the network nodes of the coupled system topology. The candidate C
APA, Harvard, Vancouver, ISO, and other styles
2

Kalakanti, Arun Kumar, and Shrisha Rao. "Charging Station Planning for Electric Vehicles." Systems 10, no. 1 (2022): 6. http://dx.doi.org/10.3390/systems10010006.

Full text
Abstract:
Charging station (CS) planning for electric vehicles (EVs) for a region has become an important concern for urban planners and the public alike to improve the adoption of EVs. Two major problems comprising this research area are: (i) the EV charging station placement (EVCSP) problem, and (ii) the CS need estimation problem for a region. In this work, different explainable solutions based on machine learning (ML) and simulation were investigated by incorporating quantitative and qualitative metrics. The solutions were compared with traditional approaches using a real CS area of Austin and a gre
APA, Harvard, Vancouver, ISO, and other styles
3

EL-Fedany, Ibrahim, Driss Kiouach, and Rachid Alaoui. "A smart system combining real and predicted data to recommend an optimal electric vehicle charging station." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 1 (2023): 394. http://dx.doi.org/10.11591/ijeecs.v30.i1.pp394-405.

Full text
Abstract:
The electric vehicle (EV) is considered an attractive alternative to a conventional vehicle, due to its potential beneficiation in decreasing carbon emission. But the battery range anxiety is a key challenge to its wide adoption and also the EV drivers spend so much time in public charging stations (CS) to charge especially during peak times. In this paper, we propose a charging station selected system (C3S) to control and manage EVs charging plans. Moreover, the C3S system proposed consists of a set of algorithms that are proposed to recommend a suitable CS for EV charging requests. The CS se
APA, Harvard, Vancouver, ISO, and other styles
4

Ibrahim, El-Fedany, Kiouach Driss, and Alaoui Rachid. "A smart system combining real and predicted data to recommend an optimal electric vehicle charging station." A smart system combining real and predicted data to recommend an optimal electric vehicle charging station 30, no. 1 (2023): 394–405. https://doi.org/10.11591/ijeecs.v30.i1.pp394-405.

Full text
Abstract:
The electric vehicle (EV) is considered an attractive alternative to a conventional vehicle, due to its potential beneficiation in decreasing carbon emission. But the battery range anxiety is a key challenge to its wide adoption and also the EV drivers spend so much time in public charging stations (CS) to charge especially during peak times. In this paper, we propose a charging station selected system (C3S) to control and manage EVs charging plans. Moreover, the C3S system proposed consists of a set of algorithms that are proposed to recommend a suitable CS for EV charging requests. The CS se
APA, Harvard, Vancouver, ISO, and other styles
5

Wang, Ruisheng, Zhong Chen, Qiang Xing, Ziqi Zhang, and Tian Zhang. "A Modified Rainbow-Based Deep Reinforcement Learning Method for Optimal Scheduling of Charging Station." Sustainability 14, no. 3 (2022): 1884. http://dx.doi.org/10.3390/su14031884.

Full text
Abstract:
To improve the operating efficiency and economic benefits, this article proposes a modified rainbow-based deep reinforcement learning (DRL) strategy to realize the charging station (CS) optimal scheduling. As the charging process is a real-time matching between electric vehicles ‘(EVs) charging demand and CS equipment resources, the CS charging scheduling problem is duly formulated as a finite Markov decision process (FMDP). Considering the multi-stakeholder interaction among EVs, CSs, and distribution networks (DNs), a comprehensive information perception model was constructed to extract the
APA, Harvard, Vancouver, ISO, and other styles
6

Zhou, Yinghong, Weihao Yang, Zhijing Yang, and Ruihan Chen. "Optimal Sizing of Electric Vehicle Charging Stacks Considering a Multiscenario Strategy and User Satisfaction." Electronics 13, no. 16 (2024): 3176. http://dx.doi.org/10.3390/electronics13163176.

Full text
Abstract:
The rapid growth of EVs relies on the development of supporting infrastructure, e.g., charging stations (CSs). The sizing problem of a CS typically involves minimizing the investment costs. Therefore, a flexible and precise sizing strategy is crucial. However, the existing methods suffer from the following issues: (1) they do not consider charging station deployments based on the charging stack; (2) existing sizing strategies based on smart charging technology consider a single scenario and fail to meet the demand for flexible operation under multiple scenarios in real-life situations. This pa
APA, Harvard, Vancouver, ISO, and other styles
7

A. Mohammed, Emad, Mahmood Hameed Qahtan, and Ahmed J. Ali. "Internet of things based real-time electric vehicle and charging stations monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1661. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1661-1669.

Full text
Abstract:
Due to a shortage of fuel sources and the increment in environmental pollution, efficient techniques should be introduced. The best solution is to move to the use of electric vehicles. The article aims to develop a solution for electric vehicle (EV) charging station locations that utilize the internet of things (IoT) technology. The IoT is a paradigm that uses sensors and transmitting networks to provide current facilities with a real-time global communication perspective of the physical world. This paper proposes a real-time system to provide a real-time update to EV location and charging sta
APA, Harvard, Vancouver, ISO, and other styles
8

Mohammed, Emad A., Mahmood Hameed Qahtan, and Ahmed J. Ali. "Internet of things based real-time electric vehicle and charging stations monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1661–69. https://doi.org/10.11591/ijeecs.v27.i3.pp1661-1669.

Full text
Abstract:
Due to a shortage of fuel sources and the increment in environmental pollution, efficient techniques should be introduced. The best solution is to move to the use of electric vehicles. The article aims to develop a solution for electric vehicle (EV) charging station locations that utilize the internet of things (IoT) technology. The IoT is a paradigm that uses sensors and transmitting networks to provide current facilities with a real-time global communication perspective of the physical world. This paper proposes a real-time system to provide a real-time update to EV location and charging sta
APA, Harvard, Vancouver, ISO, and other styles
9

Mani, S., R. Raguraj, R. Harikaran, S. Hariramselvakanth, and K. S. Gowthaman. "Development of Electric Vehicle Charging Infrastructure Based on Population." International Journal for Modern Trends in Science and Technology 6, no. 6 (2020): 14–16. http://dx.doi.org/10.46501/ijmtst060604.

Full text
Abstract:
This research investigates electric vehicle(EV) charging behavior and aims to find the best method for its prediction in order to optimize the EV charging station(CS). This paper discusses several commonly used machine learning algorithm or k-Nearest Neighbor(k-NN) to predict charging station based on population data records. According to the objective of the charging station planning, use the concept of group to do clustering evolution search. Hence the results of k-NN algorithm achieved through MATLAB software. Based on the population, the initial time location of the charging station will b
APA, Harvard, Vancouver, ISO, and other styles
10

Chandra Rakhee B. "A Hybrid Energy System Based Ev Charging Station with Advanced Controller for Grid Power Quality Regulation." Journal of Electrical Systems 20, no. 4s (2024): 2397–407. http://dx.doi.org/10.52783/jes.2445.

Full text
Abstract:
A solar photovoltaic array, battery energy storage, diesel generator, grid-based island are four sources and electric vehicles (EVs) are loads in grid-connected and DG-connected modes are continuously charged. There is a Charging Station (CS)/Battery charger. The primary function of Charging Station is to charge an EV battery using a solar PV array and Battery energy storage (BES). The Charging Station will intelligently utilise the energy from the grid or DG set even if the battery is empty and the power of the PV system is not accessible. The power of DG units is constantly pulled to run at
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Charging Station (CS)"

1

Kandar, Shyamalendu, Prashant Verma, and Sayan Nath. "Optimal Charging Station Selection for Electric Vehicle in a Smart City in Real-Time Traffic Environment With Minimum Total Trip Time." In Modern Computing Technologies for EV Efficiency and Sustainable Energy Integration. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-2382-4.ch011.

Full text
Abstract:
The global adoption of the Greenhouse Gas Protocol has prompted governments to provide incentives for electric vehicles (EVs). Advances in battery technology and fast-charging infrastructure are encouraging more people to switch to EVs. However, charging time remains a significant bottleneck, increasing waiting times at charging stations (CS) and extending total trip time. Optimal route selection for EVs is a key research area. This paper proposes selecting the optimal CS to minimize total trip time. EVs send charging requests to a centralized electric vehicle charging network (CEVCN), which c
APA, Harvard, Vancouver, ISO, and other styles
2

Preetham, Chanati Ganesh, and Shyamalendu Kandar. "Optimal Infrastructure Planning and Placement of Charging Stations for Electric Vehicles." In Advances in Logistics, Operations, and Management Science. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8474-6.ch009.

Full text
Abstract:
Due to environmental pollution and the ever-growing energy demand, there has been a shift from conventional vehicles toward electric vehicles (EVs). Public acceptance of EVs and their large-scale deployment raise the requirement for a fully operational charging infrastructure. Charging station (CS) planning for electric vehicles (EVs) for a region has become an important concern for urban planners to meet the escalating demand for EVs. There are diverse challenges and parameters concerned with finding an optimal placement and infrastructure planning for setting up charging stations for electri
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Charging Station (CS)"

1

Zheng, Jingjing, Tuo Xie, Fuchao Liu, Weizhou Wang, Peidong Du, and Yongjun Han. "Electric vehicle battery swapping station coordinated charging dispatch method based on CS algorithm." In 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2017. http://dx.doi.org/10.1109/itoec.2017.8122400.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Qadir, Shahzaib, M. Asghar Khan, Osama Idress, and Shahid Akhtar. "Design and Analysis of On-Campus Hybrid Charging Station for Electric Vehicles." In 2022 International Conference on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS). IEEE, 2022. http://dx.doi.org/10.1109/raeecs56511.2022.9954465.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Kakkar, Riya, Aparna Kumari, Smita Agrawal, and Sudeep Tanwar. "GTS-CS: A Game Theoretic Strategy for Distributed EV Charging Station using Multiple Photovoltaic." In 2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE). IEEE, 2023. http://dx.doi.org/10.1109/pesgre58662.2023.10404653.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Awais, Muhammad, Laiq Khan, Rabiah Badar, Sidra Mumtaz, Saghir Ahmad, and Shafaat Ullah. "Wavelet-Hybridized NeuroFuzzy Feedback Linearization based Control Strategy for PHEVs Charging Station in a Smart Microgrid." In 2020 International Symposium on Recent Advances in Electrical Engineering & Computer Sciences (RAEE & CS). IEEE, 2020. http://dx.doi.org/10.1109/raeecs50817.2020.9265829.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Esfandyari, A., Brian Norton, Michael Conlon, and Sarah J. McCormack. "The Battery Energy Storage System (bess) Design Option for On-Campus Photovoltaic Charging Station (PV-CS)." In ISES Solar World Congress 2015. International Solar Energy Society, 2016. http://dx.doi.org/10.18086/swc.2015.01.02.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Charging Station (CS)"

1

Elshurafa, Amro, Abdelrahman Muhsen, and Frank Felder. Cost, Footprint, and Reliability Implications of Deploying Hydrogen in Off-grid Electric Vehicle Charging Stations: A GIS-assisted Study for Riyadh, Saudi Arabia. King Abdullah Petroleum Studies and Research Center, 2023. http://dx.doi.org/10.30573/ks--2022-dp08.

Full text
Abstract:
We quantify the cost, footprint and reliability implications of using hydrogen in off-grid electric vehicle charging stations (CS) using an optimization model coupled with a geographical information system (GIS) analysis for the city of Riyadh, Saudi Arabia. We also account for the challenges associated with wind energy deployment as a generation technology for CS within city centers.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Charging Station (CS)' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography