Digital Twin Technology and Smart Grid
- 1st Edition - August 1, 2026
- Latest edition
- Editors: Iraklis Varlamis, Antoine Bagula, Hossein Hassani
- Language: English
Digital Twin Technology and Smart Grid explores the intersection of these technologies, which are essential for the evolution of energy systems. The book explains how it utiliz… Read more
The integration of Digital Twin (DT) technology with Smart Grids (SG) represents a groundbreaking development in energy management, making this a highly significant and timely topic. As urban areas expand and energy demands rise, the need for more efficient, sustainable, and resilient energy systems becomes critical. DT technology, with its ability to create real-time, virtual replicas of physical systems, offers unprecedented opportunities for enhancing the performance, reliability, and security of smart grids.
- Explains how digital twins gather real-world data to create a model of a given situation of real micro grid/power grids
- Discusses how the model can be utilized in making informed decisions
- Considers the associated technologies that support digital twins: IoT, AI, ML, and blockchain
- Explores how digital twins can be used in the real-world to monitor and improve services of the micro grid/power grid
PART 1. Introduction
1. Introduction to Digital Twin
2. Introduction to Smart Grid
3. Introduction to Digital Twin Technology for Power Grids
PART 2. Digital Twin Computing for Microgrids
4. ML Algorithms for Prediction and Diagnosis Problems
5. Edge Computing for Energy Management and Monitoring
6. Fault Detection System
7. Harmonized Attacks and Cyber-Attack
PART 3. Digital Twin Computing for Power Grids
8. Neural Network for Power System Restoration
9. Algorithm and Simulation for Digital Twin-Based Protection System
10. Cloud Computing for Digital Twin Power Grids
11. Fog-Computing for Digital Twin Power Grids
12. Edge-Computing for Digital Twin Power Grids
13. Quantum Computing Digital Twin Power Grids
14. Integration of Generative AI and LLMs into Digital Twin-Based Smart Grids
15. Artificial Intelligence, Digital Twin, and Blockchain Technology for Secure Smart Grids
16. Regulatory and Policy Implications of Digital Twins in Smart Grids
17. Future Perspectives
- Edition: 1
- Latest edition
- Published: August 1, 2026
- Language: English
IV
Iraklis Varlamis
AB
Antoine Bagula
HH
Hossein Hassani
Dr. Hossein Hassani is among the top 1% of scientists worldwide, according to the 2023 Elsevier and Stanford University ranking. He has over 15 years of extensive experience working with national, international, and multicultural organizations, research institutes, and academia. Dr. Hassani has published seven books and more than 200 articles. His research interests include digital twins, time series analysis and forecasting, AI, big data, data mining, as well as theoretical and applied statistics.