Digital Twin Technology and Smart Grid 1st Edition By Iraklis Varlamis, Antoine Bagula, Hossein Hassani
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- Pages
- 447
- File size
- 6.68 MB
- Format
- Digital PDF
- Course
- Computer Science
- Category
- eBook[PDF]
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About this ebook
The 1st edition of Digital Twin Technology and Smart Grid, written by Iraklis Varlamis, Antoine Bagula, and Hossein Hassani and published by Elsevier, bridges the gap between virtual replication systems and modern energy management. [1, 2]
The textbook primarily focuses on the following core topics:
Supporting & Supporting Infrastructure Technologies
- Data Gathering & Modeling: How digital twins securely aggregate real-world data to create precise, real-time virtual replicas of physical microgrids and power grids. [1]
- Next-Gen Computing Architectures: The operational role of cloud, edge, and fog-computing networks in processing heavy grid data streams. [1, 2]
- IoT & Intelligent Networks: Leveraging wireless sensor networks and the Internet of Things (IoT) to continuously monitor power consumption. [1, 2]
- AI & Machine Learning: The integration of artificial intelligence (AI) and machine learning (ML) models to run predictive simulations and drive data-backed decision-making. [1, 2]
- Distributed Ledgers: Utilizing blockchain technology to anchor secure transactions and records across decentralized environments. [1]
Grid Optimization, Security & Ethics
- Efficiency & Renewable Integration: Boosting overall smart grid reliability, resiliency, and power management during shifts toward green energy and decentralized generation.
- Security & Privacy Safeguards: Frameworks to accommodate cybersecurity risks and privacy exposures unique to smart energy systems.
- Ethical & Legal Compliance: Navigating the complex ethical and regulatory implications that stem from large-scale consumer data harvesting.
- Real-World Case Deployment: Practical applications for monitoring, upgrading, and maintaining services inside physical power infrastructure. [1, 2]
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6.68 MB