Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time
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Title
Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time
Authors
Keywords
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Journal
Transportation Letters-The International Journal of Transportation Research
Volume -, Issue -, Pages 1-18
Publisher
Informa UK Limited
Online
2022-08-19
DOI
10.1080/19427867.2022.2111902
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- A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
- (2021) Irfan Ullah et al. Energy & Environment
- Route Guidance Strategies for Electric Vehicles by Considering Stochastic Charging Demands in a Time-Varying Road Network
- (2020) Yongxing Wang et al. Energies
- An exact algorithm for the electric-vehicle routing problem with nonlinear charging time
- (2020) Chungmok Lee JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
- Research on Factors That Influence the Fast Charging Behavior of Private Battery Electric Vehicles
- (2020) Ye Yang et al. Sustainability
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- (2019) Aldenor G. Santos et al. Scientific Reports
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- Light-duty plug-in electric vehicles in China: An overview on the market and its comparisons to the United States
- (2019) Shiqi Ou et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- An efficient method for energy management optimization control: Minimizing fuel consumption for hybrid vehicle applications
- (2019) Mohamed Elhedi Hmidi et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
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- (2019) W. James Murdoch et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
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- (2019) Rui Chen et al. COMPUTERS & OPERATIONS RESEARCH
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- (2018) Kutaiba Nimma et al. Energies
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- (2018) Md Shafiullah et al. IEEE Access
- Binary Grey Wolf Optimizer for large scale unit commitment problem
- (2018) Lokesh Kumar Panwar et al. Swarm and Evolutionary Computation
- Impact of uncoordinated plug-in electric vehicle charging on residential power demand
- (2018) Matteo Muratori Nature Energy
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- Impact analysis of vehicle-to-grid technology and charging strategies of electric vehicles on distribution networks – A review
- (2015) Salman Habib et al. JOURNAL OF POWER SOURCES
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- (2012) Xiaohui Cui et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
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- (2009) K. Clement-Nyns et al. IEEE TRANSACTIONS ON POWER SYSTEMS
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