Zobrazeno 1 - 10
of 570
pro vyhledávání: '"charging demand"'
Publikováno v:
Journal of Traffic and Transportation Engineering (English ed. Online), Vol 11, Iss 4, Pp 643-666 (2024)
A massive market penetration of electric vehicles (EVs) associated with nonnegligible energy consumption and environmental issues has imposed a big challenge on evaluating electrical power distribution and related transportation facilities improvemen
Externí odkaz:
https://doaj.org/article/2a9a605d28e2405fbc3c7f7002883e7f
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 161, Iss , Pp 110205- (2024)
The planning of public charging stations is crucial for the growth of electric vehicles (EVs). To improve the accuracy of predicting EV charging demand in urban areas, we propose a charging decision-making model based on fuzzy logic. Meanwhile, the i
Externí odkaz:
https://doaj.org/article/97b4a65ece8344a7a64b1d22f8a8bb7b
Publikováno v:
电力工程技术, Vol 43, Iss 3, Pp 130-139 (2024)
Aiming at the randomness and uncertainty in the spatio-temporal distribution prediction of electric vehicle charging load, a method for electric vehicle load prediction that integrates travel chain theory and actual geographic information is proposed
Externí odkaz:
https://doaj.org/article/3e3325b362df4a5aa6b4bc9f2d17d7b6
Autor:
Adrian Ostermann, Theodor Haug
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-25 (2024)
Abstract Electric vehicles (EVs) are expected to be vital in transitioning to a low-carbon energy system. However, integrating EVs into the power grid poses significant challenges for grid operators and energy suppliers, especially regarding the unce
Externí odkaz:
https://doaj.org/article/d636d6c7e188473da78d6d95d0c0096e
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 1348-1373 (2024)
The transition of the automotive sector to electric vehicles (EVs) necessitates research on charging demand forecasting for optimal station placement and capacity planning. In the literature, extensive studies have been conducted on model-based and p
Externí odkaz:
https://doaj.org/article/d7a6ccb2060244d791622c8dcbf88cfc
Autor:
Kathrin Walz, Krzysztof Rudion
Publikováno v:
Energies, Vol 17, Iss 22, p 5613 (2024)
The future charging requirements of electric trucks will lead to new demands on the power grid. In order not to slow the expansion of the charging infrastructure for electric trucks, the power grid must be strengthened for this purpose. However, due
Externí odkaz:
https://doaj.org/article/60957110c0714c6d9960b4aa7b543e7f
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3143 (2024)
The market share of electric vehicles (EVs) is growing rapidly. However, given the huge demand for parking and charging of electric vehicles, supporting facilities generally have problems such as insufficient quantity, low utilization efficiency, and
Externí odkaz:
https://doaj.org/article/988f5dc9f8744979813a00f4650899cb
Publikováno v:
Cell Reports Sustainability, Vol 1, Iss 1, Pp 100006- (2024)
Summary: With the widespread adoption of electric vehicles (EVs), it is crucial to plan for charging in a way that considers both EV driver behavior and the electricity grid’s demand. Here, we integrate detailed mobility data with empirical chargin
Externí odkaz:
https://doaj.org/article/df7f679eb9674f06ab8e930f8a001f6f
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110335- (2024)
This article presents travel datasets of privately used vehicles for the determination of the daily charging demand of electric vehicles (EV) at a university campus and to analyse strategies to minimise the annual energy cost. The datasets have been
Externí odkaz:
https://doaj.org/article/61a1d5b7d7fb4a6eb4d7c3b9bf52d4d2
Autor:
Manish Bharat, Ritesh Dash, K. Jyotheeswara Reddy, A.S.R. Murty, Dhanamjayulu C., S.M. Muyeen
Publikováno v:
Energy and AI, Vol 16, Iss , Pp 100307- (2024)
In recent years, there has been a significant surge in demand for electric vehicles (EVs), necessitating accurate prediction of EV charging requirements. This prediction plays a crucial role in evaluating its impact on the power grid, encompassing po
Externí odkaz:
https://doaj.org/article/a55d8bab004a4839bfc4b54c00028c9a