1st Edition

AI and Blockchain in Smart Grids Fundamentals, Methods, and Applications

Edited By Shrikant Tiwari, Amit Kumar Tyagi Copyright 2025
373 Pages 148 B/W Illustrations
by Auerbach Publications

373 Pages 148 B/W Illustrations
by Auerbach Publications

373 Pages 148 B/W Illustrations
by Auerbach Publications

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... Read more

1. Machine Learning Fundamentals
Chayalakshmi C. L., Rajani S. Pujar, and Mahabaleshwar S. K.

2. Machine Learning and Predictive Maintenance in Smart Grids
J. Olalekan Awujoola, T. Aniemeka Enem, J. Adeyemi Owolabi, O. Christiana Akusu, O. Abioye, and R. Olayinka Adelegan

3. Machine Learning, Deep Learning, and Internet of Things-Based Smart Grids and Power Systems
Amit Kumar Tyagi and Shrikant Tiwari

4. Integration of AI and Blockchain with Digital Twins for Smart Grid
Hariharan R., Padma Nandanan, S. Amudhan, and Gopalakrishnan Soundararajan

5. WattNext: Decoding for Tomorrow's Energy  Demands
Kavitha D., Karthick Roshan M., Keerthana M., and Kamal Anandakrishnan

6. A Blockchain-Based Authentication Scheme/Framework for Secure Data Sharing
Pradeep Chintale and Gaurav Gupta

7. Security and Privacy Issues in AI: Blockchain-Enable Digital Twin-Based Smart Grid
Pradeep Chintale Gaurav Gupta

8. AI and Blockchain Applications in Smart Grids/Energy Sector
Ushaa Eswaran, Vivek Eswaran, Keerthna Murali, and Vishal Eswaran

9. Leading AI Applications in the Sustainable Energy Sector
Dipti Shukla

10. Unveiling the World with Precision: A Journey into Semantic Segmentation
Wangkheirakpam Reema Devi

11. A Blockchain-Based Authentication SchemeFramework for Secure Data Sharing
D. Kalaiabirami

12. Node Identification Algorithm in Cluster-Based Fog Computing in VANET Using Normal Distribution
Shashank Gaur, Vivek Kumar, and Ashish Srivastava

13. Analysis of FOREX Forecasting Using Machine Learning and Deep Learning Techniques
Sanyam Jain, Aswani Kumar Cherukuri, and Amit Kumar Tyagi

14. Energy Management Approaches Using Artificial Intelligence and Blockchain
Jane Rubel Angelina Jeyaraj , S. J. Subhashini, Venkata Naveen Vadlamudi, Shujian Gao, and Yegnanarayanan Venkataraman

15 An Improved Object Detection Algorithm for Maritime Search and Rescue based on Drone Imagery
Sonali Dash, Priyadarsan Parida, and V. Keerthi Kiran

16. Blockchain Controlled Offline IoT Data Stream Secured Using Identity-Based Proxy Re-Encryption Technique
S. Muthurajkumar

17. Analysis of AI For Optimization of Smart Grids
Kanthavel R., Adline Freeda R., S. Krithikaa Venket, Anju A., Dhaya R., Frank Vijay, and Joseph Fisher

18 Powering Up e-Health: AI and Blockchain for a Smarter and Safer e-Health System
Radha R., Sharanya S., and Vijayalakshmi V.

19 A Blockchain-Based Architecture for Secure and Decentralized Agricultural Supply Chain Management
Vijayalakshmi V. and A. Rehash Rushmi Pavitra

20. A Vital Research and State-of-the-Art Application in Artificial Intelligence into Smart Grids
A. Rehash Rushmi Pavitra and Vijayalakshmi V.

21. An Intelligent Digital Twin Framework for Condition Monitoring of Aircraft Engines                 Sharanya S., N. T. Jyothi, and J. V. Muruga lal Jeyan

Biography

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.