Digital Twin Technology and Smart Grid: Advances in Digital Twin Computing and Sensor Networks
Editat de Iraklis Varlamis, Antoine Bagula, Hossein Hassanien Limba Engleză Paperback – aug 2026
- Explains how digital twins gather real world data to create a model of a given situation of real micro grid/power grid
- Discusses how that model can then be utilized in the making of informed decisions about that situation
- Considers the associated technologies that support digital twins: IoT, AI, ML, blockchain
- Explores how digital twins can be used in the real world to monitor and improve services of micro grid/power grid
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Specificații
ISBN-13: 9780443366642
ISBN-10: 0443366640
Pagini: 400
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Digital Twin Computing and Sensor Networks
ISBN-10: 0443366640
Pagini: 400
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Digital Twin Computing and Sensor Networks
Cuprins
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
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