AI Enabled Crypto Mining for Electric Vehicle Systems

Authors

  • S.Radha Rammohan Post-Doctoral Research Fellow, Srinivas University, School of Computer Science & Engineering, Presidency University, Bangalore, India
  • A.Jayanthiladevi Computer Science & Information Science, Srinivas University, Karnataka, India

DOI:

https://doi.org/10.59461/ijdiic.v2i4.86

Keywords:

Virtual Grid, Electric Vehicles, Power generated, Blockchain

Abstract

A virtual grid (VG) is an interconnected system that includes a decentralized power plant, flexible loads, and energy storage facilities. During peak demand, a VG can distribute the power provided by several interconnected units in an equitable manner, ensuring that the grid burden is spread out evenly. Electric vehicles (EVs) and other demand-side energy devices can help keep the energy market supply and demand in harmony with proper use. However, it might be difficult to maintain a consistent power balance due to the inherent unpredictability of the power units. Furthermore, the issue of protecting the privacy of communications between a VPP aggregator and the final facilities has not been thoroughly explored. In this paper, we provided detailed analytics on optimization-based crypto mining for electric vehicle systems. The simulation is conducted to test the efficacy of the model, and the results show that the proposed method has a higher rate of accuracy than other methods.

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Published

19-12-2023

How to Cite

S.Radha Rammohan, & A.Jayanthiladevi. (2023). AI Enabled Crypto Mining for Electric Vehicle Systems. International Journal of Data Informatics and Intelligent Computing, 2(4), 33–39. https://doi.org/10.59461/ijdiic.v2i4.86

Issue

Section

Regular Issue