Digital Twin Technology and Smart Grid
Series: Advances in Digital Twin Computing and Sensor Networks;
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72 647 Ft (69 188 Ft + 5% VAT)
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72 647 Ft
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Product details:
- Publisher Elsevier
- Date of Publication 1 August 2026
- ISBN 9780443366642
- Binding Paperback
- No. of pages400 pages
- Size 276x216 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Digital Twin Technology and Smart Grid explores the intersection of these technologies that are essential for the evolution of energy systems. The book explains how it utilizes intelligent wireless sensor networks, the Internet of Things, artificial intelligence, machine learning, cloud, edge, and fog-computing to monitor power consumption. It discusses how security risks and privacy challenges can be accommodated and explains the ethical/legal implications of collecting data. As the global energy landscape moves toward greater sustainability and decentralization, digital twins present unprecedented opportunities to enhance grid efficiency, bolster resilience, and support the integration of renewable energy sources.
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
Table of Contents:
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
