Scipediacontent: Scipediacontent moved page Draft Content 634940327 to Cipcigan et al 2016a

2021-01-28T21:45:40Z

Scipediacontent moved page Draft Content 634940327 to Cipcigan et al 2016a

Scipediacontent: Created page with " == Abstract == the number of electric vehicles increases, the impact of their charging on distribution networks is being investigated using different load profiles. Due to..."

2021-01-28T21:45:35Z

Created page with " == Abstract == the number of electric vehicles increases, the impact of their charging on distribution networks is being investigated using different load profiles. Due to..."

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== Abstract ==

the number of electric vehicles increases, the impact of their charging on distribution networks is being investigated using different load profiles. Due to the lack of real charging data, the majority of these load impact studies are making assumptions for the electric vehicle charging demand profiles. In this paper a two-step modelling framework was developed to extract the useful information hidden in real EVs charging event data. Real EVs charging demand data were obtained from Plugged-in Midlands (PiM) project, one of the eight ‘Plugged-in Places’ projects supported by the UK Office for Low Emission Vehicles (OLEV). A data mining model was developed to investigate the characteristics of electric vehicle charging demand in a geographical area. A Fuzzy-Based model aggregates these characteristics and estimates the potential relative risk level of EVs charging demand among different geographical areas independently to their actual corresponding distribution networks. A case study with real charging and weather data from three counties in UK is presented to demonstrate the modelling framework.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_634940327-beopen1488-9728-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1016/j.apenergy.2015.10.151 http://dx.doi.org/10.1016/j.apenergy.2015.10.151] under the license http://creativecommons.org/licenses/by/4.0

* [http://dx.doi.org/10.1016/j.apenergy.2015.10.151 http://dx.doi.org/10.1016/j.apenergy.2015.10.151] under the license http://creativecommons.org/licenses/by/4.0

* [http://orca.cf.ac.uk/80940/1/1-s2.0-S0306261915013938-main.pdf http://orca.cf.ac.uk/80940/1/1-s2.0-S0306261915013938-main.pdf] under the license http://creativecommons.org/licenses/by/4.0/

* [https://doi.org/10.1016/j.apenergy.2015.10.151 https://doi.org/10.1016/j.apenergy.2015.10.151] under the license http://creativecommons.org/licenses/by/4.0

* [http://orca.cf.ac.uk/80940 http://orca.cf.ac.uk/80940],
: [https://www.sciencedirect.com/science/article/pii/S0306261915013938 https://www.sciencedirect.com/science/article/pii/S0306261915013938],
: [https://doi.org/10.1016/j.apenergy.2015.10.151 https://doi.org/10.1016/j.apenergy.2015.10.151],
: [https://ideas.repec.org/a/eee/appene/v162y2016icp763-771.html https://ideas.repec.org/a/eee/appene/v162y2016icp763-771.html],
: [https://EconPapers.repec.org/RePEc:eee:appene:v:162:y:2016:i:c:p:763-771 https://EconPapers.repec.org/RePEc:eee:appene:v:162:y:2016:i:c:p:763-771],
: [https://econpapers.repec.org/article/eeeappene/v_3a162_3ay_3a2016_3ai_3ac_3ap_3a763-771.htm https://econpapers.repec.org/article/eeeappene/v_3a162_3ay_3a2016_3ai_3ac_3ap_3a763-771.htm],
: [https://academic.microsoft.com/#/detail/2152012918 https://academic.microsoft.com/#/detail/2152012918] under the license cc-by

* [https://api.elsevier.com/content/article/PII:S0306261915013938?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0306261915013938?httpAccept=text/xml],
: [https://api.elsevier.com/content/article/PII:S0306261915013938?httpAccept=text/plain https://api.elsevier.com/content/article/PII:S0306261915013938?httpAccept=text/plain],
: [http://dx.doi.org/10.1016/j.apenergy.2015.10.151 http://dx.doi.org/10.1016/j.apenergy.2015.10.151]

* [ ] under the license https://www.elsevier.com/tdm/userlicense/1.0/

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Cipcigan et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 634940327 to Cipcigan et al 2016a

Scipediacontent: Created page with " == Abstract == the number of electric vehicles increases, the impact of their charging on distribution networks is being investigated using different load profiles. Due to..."