Optimizing Electric Vehicle Fleet Operations with Predictive Analytics: A Renewable Energy-Centric Approach

  • Ramakrishna S.S. Nuvvula
  • , Polamarasetty P. Kumar
  • , Alighazi Siddiqui
  • , S. Thamizharasan
  • , Chai Ching Tan
  • , Raaid Alubady
  • , Baseem Khan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

This study introduces an innovative strategy to enhance electric vehicle (EV) fleet operations by combining predictive analytics and renewable energy sources. Leveraging real-world data from an active EV fleet, our method encompasses predictive maintenance, charging schedule optimization, and route planning, all empowered by advanced machine learning techniques. The results demonstrate a significant 15% reduction in greenhouse gas emissions, substantial annual cost savings exceeding 550,000, and noteworthy adaptability. This approach aligns with global sustainability targets and delivers valuable insights for fleet operators, policymakers, and researchers, promoting a more environmentally friendly and sustainable future.

Original languageEnglish
Title of host publication12th International Conference on Smart Grid, icSmartGrid 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages309-311
Number of pages3
ISBN (Electronic)9798350361612
DOIs
Publication statusPublished - 2024
Event12th International Conference on Smart Grid, icSmartGrid 2024 - Hybrid, Setubal, Portugal
Duration: 27 May 202429 May 2024

Publication series

Name12th International Conference on Smart Grid, icSmartGrid 2024

Conference

Conference12th International Conference on Smart Grid, icSmartGrid 2024
Country/TerritoryPortugal
CityHybrid, Setubal
Period27/05/2429/05/24

Keywords

  • Electric Vehicles (EVs)
  • Fleet Operations
  • Predictive Analytics
  • Renewable Energy Integration
  • Sustainability

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Control and Optimization

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