Digital Twin Technology and Smart Grid (Advances in Digital Twin Computing and Sensor Networks)

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Digital Twin Technology and Smart Grid (Advances in Digital Twin Computing and Sensor Networks)

Varlamis, Iraklis (EDT)/ Bagula, Antoine (EDT)/ Hassani, Hossein (EDT)

ウェブストア価格 ¥44,774（本体¥40,704）
Elsevier - Health Sciences Division（2026/08発売）
外貨定価 US$ 200.00
ポイント 407pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 400 p.
言語 ENG
商品コード 9780443366642

Full Description

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 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.

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