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Digital Twin Technology for Real-Time Monitoring and Optimization of Electrical Distribution Networks
Authors
1 2 UG Scholar, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, Telangana, India. 3 Assistant Professor, Department of Electrical and Electronics Engineering, Holy Mary Institute of Technology and Science, Hyderabad, Telangana, India.
Article Information
- DOI
- No Doi
- Published In
- Year 2025 · Volume 2 · Issue 3
- Published Online
- September-December 2025
- Pages
- 16-19
- Article Type
- Original Article
- Check for updates
-
References
1. F. Tao, H. Zhang, A. Liu, and A. Y. C. Nee, "Digital Twin in Industry: State-of-the-Art and Future Trends," IEEE Transactions on Industrial
Informatics, vol. 18, no. 3, pp. 1523–1536, 2022.
2. Y. Wang, Q. Chen, and C. Kang, "Digital Twin Applications for Smart Grid Monitoring and Control," IEEE Transactions on Smart Grid,
vol. 13, no. 4, pp. 3120–3132, 2022.
3. M. Shahidehpour, Z. Li, and M. Ganji, "Artificial Intelligence and Digital Twin Technologies for Modern Power Systems," Proceedings of
the IEEE, vol. 111, no. 2, pp. 143–166, 2023.
4. X. Liu, Y. Wang, and H. He, "Machine Learning-Enabled Digital Twins for Electrical Network Optimization," IEEE Access, vol. 12, pp.
44520–44538, 2024.
5. N. Sharma, A. Verma, and S. Singh, "Digital Twin-Based Predictive Maintenance Framework for Smart Distribution Networks," Energy
Reports, vol. 10, pp. 1820–1838, 2024.
6. Y. Li, F. Qiu, and J. Wang, "Real-Time Digital Twin Platform for Renewable Energy Integrated Distribution Systems," Applied Energy, vol.
356, pp. 121–140, 2024.
7. K. Patel and R. Mehta, "Advanced Digital Twin Architectures for Intelligent Power Infrastructure," Sustainable Energy Technologies and
Assessments, vol. 63, pp. 103–125, 2025.
8. M. Rahman, S. Islam, and T. Ahmed, "AI-Driven Digital Twin Framework for Smart Grid Asset Management," Energy AI, vol. 15, pp. 100–
120, 2025.
Informatics, vol. 18, no. 3, pp. 1523–1536, 2022.
2. Y. Wang, Q. Chen, and C. Kang, "Digital Twin Applications for Smart Grid Monitoring and Control," IEEE Transactions on Smart Grid,
vol. 13, no. 4, pp. 3120–3132, 2022.
3. M. Shahidehpour, Z. Li, and M. Ganji, "Artificial Intelligence and Digital Twin Technologies for Modern Power Systems," Proceedings of
the IEEE, vol. 111, no. 2, pp. 143–166, 2023.
4. X. Liu, Y. Wang, and H. He, "Machine Learning-Enabled Digital Twins for Electrical Network Optimization," IEEE Access, vol. 12, pp.
44520–44538, 2024.
5. N. Sharma, A. Verma, and S. Singh, "Digital Twin-Based Predictive Maintenance Framework for Smart Distribution Networks," Energy
Reports, vol. 10, pp. 1820–1838, 2024.
6. Y. Li, F. Qiu, and J. Wang, "Real-Time Digital Twin Platform for Renewable Energy Integrated Distribution Systems," Applied Energy, vol.
356, pp. 121–140, 2024.
7. K. Patel and R. Mehta, "Advanced Digital Twin Architectures for Intelligent Power Infrastructure," Sustainable Energy Technologies and
Assessments, vol. 63, pp. 103–125, 2025.
8. M. Rahman, S. Islam, and T. Ahmed, "AI-Driven Digital Twin Framework for Smart Grid Asset Management," Energy AI, vol. 15, pp. 100–
120, 2025.
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