
AI and Blockchain in Smart Grids
Fundamentals, Methods, and Applications
- 352 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
AI and Blockchain in Smart Grids
Fundamentals, Methods, and Applications
About this book
AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications examines the cutting-edge solution that combines artificial intelligence (AI), blockchain technology, and digital twin concepts to innovate the management and optimization of electrical power distribution. This innovative approach enhances the resilience, efficiency, and security of electricity grids while providing real-time insights for grid operators and stakeholders. The book covers such key elements as using:
- Digital twins in smart grids to gather real-time data from various grid components
- AI-powered analytics to process the data generated by digital twins and to analyze this information to detect patterns, predict grid failures, and recommend adjustments to enhance a grid's performance
- Blockchain-based security to ensure the secure and transparent management of data within a smart grid, especially a tamper-resistant ledger to store information related to energy production, distribution, and consumption
- Decentralized data sharing to allow grid data to be shared securely among various stakeholders, including utilities, regulators, and consumers
- Grid optimization techniques to improve electricity distribution, reduce energy waste, and balance supply and demand efficiently
Select real-world case studies and practical examples demonstrate how AI and blockchain are currently being applied to enhance grid management, energy distribution, and sustainability. By explaining to researchers, academics, and students how AI and blockchain can revolutionize electricity distribution and make grids smarter, more secure, and environmentally friendly, the book points to a future where grid operators, regulators, and consumers will benefit from real-time data and a resilient, efficient energy ecosystem.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- List of Contributors
- Preface
- Chapter 1 Machine Learning Fundamentals
- Chapter 2 Machine Learning and Predictive Maintenance in Smart Grids
- Chapter 3 Machine Learning, Deep Learning, and Internet of ThingsâBased Smart Grids and Power Systems
- Chapter 4 Integration of AI and Blockchain with Digital Twins for Smart Grid
- Chapter 5 WattNext: Decoding for Tomorrowâs Energy Demands
- Chapter 6 Blockchain-Based Authentication Scheme/Framework for Secure Data Sharing
- Chapter 7 Security and Privacy Issues in AI-Blockchain Enabled Digital TwinâBased Smart Grid
- Chapter 8 AI and Blockchain Applications in Smart Grids/Energy Sector
- Chapter 9 Leading AI Applications in the Sustainable Energy Sector
- Chapter 10 Unveiling the World with Precision: A Journey into Semantic Segmentation
- Chapter 11 Blockchain-Based Authentication Scheme/Framework for Secure Data Sharing
- Chapter 12 Node Identification Algorithm in Cluster Based on Fog Computing in VANET Using Normal Distribution
- Chapter 13 Analysis of FOREX Forecasting Using Machine Learning and Deep Learning Techniques
- Chapter 14 Energy Management Approaches Using Artificial Intelligence and Blockchain
- Chapter 15 An Improved Object Detection Algorithm for Maritime Search and Rescue Based on Drone Imagery
- Chapter 16 Blockchain Controlled Offline IoT Data Stream Secured Using Identity-Based Proxy Re-Encryption Technique
- Chapter 17 Analysis of AI for Optimization of Smart Grids
- Chapter 18 Powering Up e-Health: AI and Blockchain for a Smarter, Safer e-Health System
- Chapter 19 A Blockchain-Based Architecture for Secure and Decentralized Agricultural Supply Chain Management
- Chapter 20 A Vital Research and State-of-the-Art Application in Artificial Intelligence into Smart Grids
- Chapter 21 An Intelligent Digital Twin Framework for Condition Monitoring of Aircraft Engines
- Index