Art
J-GLOBAL ID:202102231603257746   Reference number:21A1047376

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers

電気自動車充電の機械学習ベース管理:高分散高速充電器に向けて【JST・京大機械翻訳】
Author (3):
Material:
Volume: 13  Issue: 20  Page: 5429  Publication year: 2020 
JST Material Number: U7016A  ISSN: 1996-1073  CODEN: ENERGA  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
Abstract/Point:
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Japanese summary of the article(about several hundred characters).
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Coordinated charging of electr...
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JST classification
Category name(code) classified by JST.
Electric vehicles  ,  Transportation methods and facilities 
Reference (35):
  • IEA. Global Electric Vehicles Outlook 2019; International Energy Agency: Paris, France, 2019.
  • Maglaras, L.A.; Jiang, J.; Maglaras, A.; Topalis, F.V.; Moschoyiannis, S. Dynamic wireless charging of electric vehicles on the move with Mobile Energy Disseminators. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 2015, 6, 239-251.
  • Mario, A.R.; Fadi, A.A.; Gagnaire, M.; Lascaux, Y. Telewatt: An innovative electric vehicle charging infrastructure over public lighting systems. In Proceedings of the 2nd International Conference on Connected Vehicles and Expo (ICCVE), Las Vegas, NV, USA, 2-6 December 2013.
  • Khan, A.; Memon, S.; Sattar, T. Analyzing Integrated Renewable Energy and Smart-Grid Systems to Improve Voltage Quality and Harmonic Distortion Losses at Electric-Vehicle Charging Stations. IEEE Access 2018, 6, 26404-26415.
  • Liu, C.; Wang, J.; Botterud, A. Assessment of Impacts of PHEV Charging Patterns on Wind-Thermal Scheduling by Stochastic Unit Commitment. IEEE Trans. Smart Grid 2012, 3, 675-683.
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