| ISBN13: | 9781032812960 |
| ISBN10: | 1032812966 |
| Kötéstípus: | Keménykötés |
| Terjedelem: | 373 oldal |
| Méret: | 254x178 mm |
| Nyelv: | angol |
| Illusztrációk: | 148 Illustrations, black & white; 148 Line drawings, black & white |
| 700 |
AI and Blockchain in Smart Grids
GBP 190.00
Kattintson ide a feliratkozáshoz
The book discusses emerging technologies driving the transformation of energy grids. It focuses on the integration of AI and blockchain to create digital twins that will provide data-driven insights into smart grid operations. It explores how these technologies optimize energy distribution, grid resilience, and efficient management.
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.
1. Machine Learning Fundamentals 2. Machine Learning and Predictive Maintenance in Smart Grids 3. Machine Learning, Deep Learning and Internet of Things-Based Smart Grids and Power Systems 4. Integration of AI and Blockchain with Digital Twins for Smart Grid 5. Project WattNext: Decoding for Tomorrow's Energy Demands 6. A Blockchain-Based Authentication Scheme/Framework for Secure Data Sharing 7. Security and Privacy Issues in AI- Blockchain-Enable Digital Twin-Based Smart Grid 8. AI and Blockchain Applications in Smart Grids/Energy Sector 9. Leading AI Applications in the Sustainable Energy Sector 10. Unveiling the World with Precision: A Journey into Semantic Segmentation 11. Blockchain-Based Authentication Scheme/Framework for Secure Data Sharing 12. Node Identification Algorithm in Cluster Based on Fog Computing in VANET Using Normal Distribution 13. Analysis of FOREX Forecasting Using Machine Learning and Deep Learning Techniques 14. Energy Management Approaches Using Artificial Intelligence and Blockchain 15. An Improved Object Detection Algorithm for Maritime Search and Rescue Based on Drone Imagery 16. Blockchain Controlled Offline IoT Data Stream Secured Using Identity-Based Proxy Re-Encryption Technique 17. Analysis of AI For Optimization of Smart Grids 18 Powering Up e-Health: AI and Blockchain for a Smarter and Safer e-Health System 19 A Blockchain-Based Architecture for Secure and Decentralized Agricultural Supply Chain Management 20. A Vital Research and State-of-the-Art Application in Artificial Intelligence into Smart Grids 21. An Intelligent Digital Twin Framework for Condition Monitoring of Aircraft Engines