Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Murat AKIL"'
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 11, Pp 161-183 (2023)
Despite the acceptance of electric vehicles (EVs) by consumers in developed countries, consumers' intentions towards these smart devices (SD) and the steps that can be taken to expand in this market continue to be investigated in developing countries
Externí odkaz:
https://doaj.org/article/018ac025565247779cbc8a719fe5e717
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 15, Pp 3216-3232 (2022)
Abstract The charging load forecasting of residential Electric Vehicles help grid operators make informed decisions in terms of scheduling and managing demand response. The residence can include integrated residential appliances with multi‐state an
Externí odkaz:
https://doaj.org/article/b867aee6f1994089ae903f6c4e2dabe4
Publikováno v:
SAGE Open, Vol 13 (2023)
Electric vehicles (EVs) hold promise for attaining sustainable development objectives and mitigating the effects of global climate change due to their substantial benefits, such as high energy efficiency and low carbon emissions. Research on purchase
Externí odkaz:
https://doaj.org/article/7fbbe67fa3bb471486ab9dbcdd30bcd9
Publikováno v:
Energies, Vol 14, Iss 24, p 8508 (2021)
A successful distribution network can continue to operate despite the uncertainties at the charging station, with appropriate equipment retrofits and upgrades. However, these new investments in the grid can become complex in terms of time and space.
Externí odkaz:
https://doaj.org/article/168bc2f58ff9433094f115b0532bd626
Publikováno v:
Turkish Journal of Electrical Engineering and Computer Sciences. 30:678-694
The uncoordinated charging of Electric Vehicles (EVs) into the grid increases the stochastic rebound peak on the grid. These charging demands can strain grid equipment at the street charging points in an area. In this study, a smart coordination appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05cb767d2c6328e5d4930480b7d37e5e
https://hdl.handle.net/20.500.12451/9912
https://hdl.handle.net/20.500.12451/9912
The stochastic charging behaviors of Electric Vehicle (EV) users illustrate the negative effects of bulk charging during peak hours on the grid. To overcome this problem, the bulk EV charging demand forecasting approach is investigated using historic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a242b0dd8686c790b00fcd5b697e5afb
https://hdl.handle.net/20.500.12451/9959
https://hdl.handle.net/20.500.12451/9959
Publikováno v:
2021 10th International Conference on Renewable Energy Research and Application (ICRERA).
The effects of climate change are being felt more and more day by day. Reducing emissions from fossil fuels is among the priority measures to deal with the climate crisis. With the increase in the sales of zero-emission Electric Vehicles (EV), the nu
Publikováno v:
2021 10th International Conference on Renewable Energy Research and Application (ICRERA).
Real-time charging data of Electric Vehicles (EVs) cannot be easily shared between service providers, making analysis of the energy profile is difficult of collective EVs. This paper uses a real-time dataset that analyzes real-world charging load pro
Publikováno v:
2021 10th International Conference on Renewable Energy Research and Application (ICRERA).
The energy profile of gathered EVs is difficult to determine, as the actual charging data of Electric Vehicles (EVs) cannot be shared among distribution service providers. In this study, a dataset containing weekday and weekend information over a one