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相关论文: Investigating the Spatiotemporal Charging Demand a…

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The increasing market penetration of electric vehicles (EVs) may pose significant electricity demand on power systems. This electricity demand is affected by the inherent uncertainties of EVs' travel behavior that makes forecasting the…

机器学习 · 计算机科学 2021-06-15 Sina Baghali , Samiul Hasan , Zhaomiao Guo

With the growing popularity of electric vehicles as a means of addressing climate change, concerns have emerged regarding their impact on electric grid management. As a result, predicting EV charging demand has become a timely and important…

机器学习 · 计算机科学 2026-04-01 Iason Kyriakopoulos , Yannis Theodoridis

Electric vehicles (EVs) add significant load on the power grid as they become widespread. The characteristics of this extra load follow the patterns of people's driving behaviours. In particular, random parameters such as arrival time and…

计算工程、金融与科学 · 计算机科学 2014-08-12 Farshad Rassaei , Wee-Seng Soh , Kee-Chaing Chua

Electric vehicles can offer a low carbon emission solution to reverse rising emission trends. However, this requires that the energy used to meet the demand is green. To meet this requirement, accurate forecasting of the charging demand is…

机器学习 · 计算机科学 2021-06-22 Frederik Boe Hüttel , Inon Peled , Filipe Rodrigues , Francisco C. Pereira

Electric vehicles (EVs) and particularly plug-in hybrid electric vehicles (PHEVs) are foreseen to become popular in the near future. Not only are they much more environmentally friendly than conventional internal combustion engine (ICE)…

计算工程、金融与科学 · 计算机科学 2014-07-08 Farshad Rassaei , Wee-Seng Soh , Kee-Chaing Chua

Electric Vehicle (EV) is playing a significant role in the distribution energy management systems since the power consumption level of the EVs is much higher than the other regular home appliances. The randomness of the EV driver behaviors…

机器学习 · 计算机科学 2018-02-13 Yingqi Xiong , Bin Wang , Chi-Cheng Chu , Rajit Gadh

This study addresses the challenge of predicting electric vehicle (EV) charging profiles in urban locations with limited data. Utilizing a neural network architecture, we aim to uncover latent charging profiles influenced by spatio-temporal…

Electric Vehicle (EV) sharing systems have recently experienced unprecedented growth across the globe. Many car sharing service providers as well as automobile manufacturers are entering this competition by expanding both their EV fleets…

人工智能 · 计算机科学 2019-05-14 Man Luo , Hongkai Wen , Yi Luo , Bowen Du , Konstantin Klemmer , Hongming Zhu

Electric vehicle charging demand prediction is important for vacant charging pile recommendation and charging infrastructure planning, thus facilitating vehicle electrification and green energy development. The performance of previous…

机器学习 · 计算机科学 2024-11-28 Haoxuan Kuang , Kunxiang Deng , Linlin You , Jun Li

Given the rise of electric vehicle (EV) adoption, supported by government policies and dropping technology prices, new challenges arise in the modeling and operation of electric transportation. In this paper, we present a model for solving…

Accurately predicting the future power demand of electric vehicles is important for developing policy and industrial strategy. Here we propose a method to create a representative set of electricity demand profiles using survey data from…

物理与社会 · 物理学 2017-11-07 Constance Crozier , Dimitra Apostolopoulou , Malcolm McCulloch

Electric vehicle (EV) charging patterns are highly uncertain in both location, time, and duration particularly in association with the predicted high demand for electric mobility in the future. An EV can be charged at home, at charging…

最优化与控制 · 数学 2022-04-06 Leila Hajibabai , Amir Mirheli

The transport sector is a major contributor to greenhouse gas emissions in Europe. Shifting to electric vehicles (EVs) powered by a low-carbon energy mix would reduce carbon emissions. However, to support the development of electric…

Accurate forecasting of electric vehicle (EV) charging demand is critical for grid management and infrastructure planning. Yet the field continues to rely on legacy benchmarks; such as the Palo Alto (2020) dataset; that fail to reflect the…

应用统计 · 统计学 2026-04-23 Kaoutar Bouaachra , Yvenn Amara-Ouali , Yannig Goude , Raphaël Lachieze-Rey

Driven by growing concerns over air quality and energy security, electric vehicles (EVs) has experienced rapid development and are reshaping global transportation systems and lifestyle patterns. Compared to traditional gasoline-powered…

系统与控制 · 电气工程与系统科学 2025-09-08 Hai Wang , Baoshen Guo , Xiaolei Zhou , Shuai Wang , Zhiqing Hong , Tian He

The global shift toward electric vehicles (EVs) for climate sustainability lacks comprehensive insights into the impact of the built environment on EV ownership, especially in varying spatial contexts. This study, focusing on New York…

应用统计 · 统计学 2024-02-01 Meiyu , Pan , Majbah Uddin , Hyeonsup Lim

This paper proposes a probabilistic model for uncontrolled charging of electric vehicles (EVs). EV charging will add significant load to power systems in the coming years and, due to the convenience of charging at home, this is likely to…

信号处理 · 电气工程与系统科学 2019-07-23 Constance Crozier , Thomas Morstyn , Malcolm McCulloch

Replacing a portion of current light duty vehicles (LDV) with plug-in hybrid electric vehicles (PHEVs) offers the possibility to reduce the dependence on petroleum fuels together with environmental and economic benefits. The charging…

机器学习 · 计算机科学 2016-04-18 Marco Pellegrini , Farshad Rassaei

With the increasing demand for greener and more energy efficient transportation solutions, electric vehicles (EVs) have emerged to be the future of transportation across the globe. However, currently, one of the biggest bottlenecks of EVs…

应用统计 · 统计学 2020-09-09 Duc Minh Nguyen , Mustafa A. Kishk , Mohamed-Slim Alouini

The growing penetration of electric vehicles (EVs) significantly changes typical load curves in smart grids. With the development of fast charging technology, the volatility of EV charging demand is increasing, which requires additional…

系统与控制 · 电气工程与系统科学 2024-11-05 Kedi Zheng , Hanwei Xu , Zeyang Long , Yi Wang , Qixin Chen
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