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Determination of the level of service and customer crowding for electric charging stations through fuzzy models and simulation techniques

Author

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  • Andrenacci, N.
  • Genovese, A.
  • Ragona, R.

Abstract

Electric mobility is regarded as an important option for reducing environmental impacts of transport. State incentives and planning efforts for the mass deployment of a public charging infrastructure (CI) are in hand in many countries; in particular, public CIs based on the Level 3 DC fast charge are most likely to become commercially viable in the short to medium term, as the drivers are more likely to view the operation as traditional refuelling.

Suggested Citation

  • Andrenacci, N. & Genovese, A. & Ragona, R., 2017. "Determination of the level of service and customer crowding for electric charging stations through fuzzy models and simulation techniques," Applied Energy, Elsevier, vol. 208(C), pages 97-107.
    • Handle: RePEc:eee:appene:v:208:y:2017:i:c:p:97-107
    DOI: 10.1016/j.apenergy.2017.10.053
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    Cited by:

    1. Hussain, Shahid & Irshad, Reyazur Rashid & Pallonetto, Fabiano & Hussain, Ihtisham & Hussain, Zakir & Tahir, Muhammad & Abimannan, Satheesh & Shukla, Saurabh & Yousif, Adil & Kim, Yun-Su & El-Sayed, H, 2023. "Hybrid coordination scheme based on fuzzy inference mechanism for residential charging of electric vehicles," Applied Energy, Elsevier, vol. 352(C).

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