Forecasting Energy Consumption of Electric Vehicles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10252814" target="_blank" >RIV/61989100:27730/23:10252814 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/23:10252814
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10175761" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10175761</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/GPECOM58364.2023.10175761" target="_blank" >10.1109/GPECOM58364.2023.10175761</a>
Alternative languages
Result language
angličtina
Original language name
Forecasting Energy Consumption of Electric Vehicles
Original language description
To reduce exhaust emissions that contribute to climate change, many countries aim to replace internal combustion engines with electric vehicles (EVs). As this change takes place, it is important to understand the potential impacts of EVs on the distribution grid. There must be a plan for grid flexibility quickly given the additional grid costs and concerns about how these costs can be reduced. Previous estimates are based on inconsistent surveys or consist of small, non-representative samples of households with electric vehicle meters. In this study, a scaled estimation of electric vehicle home charging in Turkey is presented. Fixed effects methods are used for panel data to estimate the effects of electric vehicle adoption on electric load. The average electric vehicle increases the overall household load by 3.1 kWh per day (the majority is concentrated during the night-time hours), well below the amount assumed by network regulators. With the results implying that electric vehicles travel less than expected on electric power, the issue of how to integrate electric vehicles into the energy system is a major concern as their uncontrolled charging could adversely affect the functioning of distribution grids.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE 5th Global Power, Energy and Communication Conference, IEEE GPECOM2023 : proceedings : Cappadocia, Turkey, 14-16 June, 2023
ISBN
979-8-3503-0199-1
ISSN
2832-7667
e-ISSN
2832-7675
Number of pages
5
Pages from-to
120-124
Publisher name
IEEE
Place of publication
Piscataway
Event location
Kappadokie
Event date
Jun 14, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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