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A probabilistic approach to combining smart meter and electric vehicle charging data to investigate distribution network impacts

Lookup NU author(s): Dr Myriam Neaimeh, Dr Robin WardleORCiD, Dr Graeme Hill, Dr Padraig LyonsORCiD, Dr Jialiang Yi, Dr Yvonne Chase, Professor Phil BlytheORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Neaimeh M, Wardle R, Jenkins A, Hill GA, Lyons P, Yi J, Huebner Y, Blythe PT, Taylor P

Publication type: Article

Publication status: Published

Journal: Applied Energy

Year: 2015

Volume: 157

Pages: 688-698

Print publication date: 01/11/2015

Online publication date: 13/03/2015

Acceptance date: 31/01/2015

Date deposited: 19/03/2015

ISSN (print): 0306-2619

ISSN (electronic): 1872-9118

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/j.apenergy.2015.01.144

DOI: 10.1016/j.apenergy.2015.01.144


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Funding

Funder referenceFunder name
EA Technology Ltd
Future Transport Systems
Newcastle University
Nissan
Northern Powergrid
ONE NE
Simon Bailes Peugeot
Smiths EV
AVID EV
British Gas plc
Durham University
former regional development agency ONE North East
Innovate UK
Liberty EV
Office of Gas and Electricity Markets (Ofgem) under the Low Carbon Network Fund
EP/G066019/1EPSRC
EP/K012398/1EPSRC
EP/J005649/1EPSRC
EP/G066019/1EPSRC

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