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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.
List of contents
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. 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-Enabled 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
About the author
Amit Kumar Tyagi is an assistant professor, Department of Fashion Technology, National Institute of Fashion Technology, New Delhi. He earned a PhD degree from Pondicherry Central University, India. He has worked as an assistant professor and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India. He is a regular member of the ACM and senior member of IEEE.
Shrikant Tiwari received a PhD degree from the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Currently, he is an associate professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India. He has authored or co-authored more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE, a senior member of the IEEE, and member of ACM, IET, CSI, ISTE, IAENG, and SCIEI.
Summary
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.
