BIG DATA CHALLENGES FOR E-MOBILITY- INFRA OPERATOR

Authors

  • Roshini.S UG Students, Department of CSE, KGiSL Institute of Technology, Coimbatore, India
  • Vrinda Raj.V.P UG Students, Department of CSE, KGiSL Institute of Technology, Coimbatore, India
  • Prof.Jayashree.R Professor, Department of CSE, KGiSL Institute of Technology, Coimbatore, India

Keywords:

E-Charging Operators, Big Data, Machine Learning, dynamic pricing

Abstract

The E-Charging Operators (equivalent of today's petrol pump operators) need a Big Data approach to ensure
their customers (end-users) satisfaction and optimum utilization of the e-Charging stations. The operator may have fast or
slow charging infrastructure with their own payment terms and timings. Based on Machine Learning algorithms the
operatorcanofferdynamic pricingatstipulated times andmanage the peakdemandaccordingly.

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Published

2019-03-31

How to Cite

Roshini.S, Vrinda Raj.V.P, & Prof.Jayashree.R. (2019). BIG DATA CHALLENGES FOR E-MOBILITY- INFRA OPERATOR. International Journal of Technical Innovation in Modern Engineering & Science, 5(18), -. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/3244

Issue

Vol. 5 No. 18 (2019): ICRESET-2019 (International Conference on Recent Explorations in Science, Engineering and Technologies)

Section

Articles