Statistical Characterization of Public AC EV Chargers in the U.K.-Reference-Cited by-同舟云学术

Statistical Characterization of Public AC EV Chargers in the U.K.

Published:2023 Issue: Volume:11 Page:70274-70287
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Bayram I. Safak¹^ORCID,Saad Ali²^ORCID,Sims Ryan³,Babu Anish³,Edmunds Calum⁴,Galloway Stuart¹^ORCID

Affiliation:

1. Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, U.K.

2. Connected Kerb, London, U.K.

3. Power Networks Demonstration Centre, University of Strathclyde, Glasgow, U.K.

4. Katoni Engineering Ltd., Aberdeen, U.K.

Funder

Royal Society of Edinburgh’s (RSE) Personal Research Fellowship Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10175513.pdf?arnumber=10175513

Reference51 articles.

1. Quantitive analysis of electric vehicle flexibility: A data-driven approach

2. Spatial and temporal patterns of electric vehicle charging station utilization: a nationwide case study of Switzerland

3. Solving Overstay and Stochasticity in PEV Charging Station Planning With Real Data

4. Quantifying flexibility in EV charging as DR potential: Analysis of two real-world data sets

5. Costs associated with non-residential electric vehicle supply equipment: Factors to consider in the implementation of electric vehicle charging stations;smith,2015

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