Narayan Vyas, an academician at Vivekananda Global University, specializes in computer science, focusing on IoT and Mobile App Development. He has trained over 1000 students globally and published extensively in Scopus journals. An active IEEE member, his research interests include Remote Sensing, Machine Learning, and Computer Vision.
Secure Energy Optimization: Leveraging IoT And AI For Enhanced Efficiency
Publisher: Wiley-Scrivener
Editors: Abhishek Kumar, Surbhi Bhatia Khan, Narayan Vyas, Vishal Dutt, Shakila Basheer
Explore the synergy of IoT and AI in revolutionizing energy management and security. This comprehensive guide unveils the principles, applications, and challenges of integrating these technologies for efficient energy use. Discover real-world case studies, cybersecurity insights, and practical solutions to enhance energy efficiency and sustainability while ensuring a secure energy future.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 30 April 2024 |
| Abstract Acceptance Notification | February 2024 |
| Full Chapter Submission Deadline | 30 August 2024 |
| Chapter Acceptance Notification | 30 Setpember 2024 |
| Projected Book Release Date | March 2025 |
| Important Guidelines | |
|---|---|
| Citation Style | IEEE |
| Formatting | 11 pt Times Roman, 1.5 line spacing |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Headings |
|
Chapter 1: Introduction to Secure Energy Optimization
Chapter 2: The Role of IoT and AI in Energy Efficiency
Chapter 3: Understanding Energy Security Challenges
Chapter 4: IoT and AI-Based Monitoring and Control Systems for Energy Optimization
Chapter 5: Data Collection & Analysis for Secure Energy Optimization
Chapter 6: Machine Learning Algorithms for Energy Efficiency Enhancement
Chapter 7: Cybersecurity Measures for IoT-Enabled Energy Systems
Chapter 8: Securing Communication Networks in Smart Grids
Chapter 9: Privacy Protection in IoT-Based Energy Management
Chapter 10: Predictive Analytics for Demand Response and Load Management
Chapter 11: Dynamic Pricing and Energy Optimization Strategies
Chapter 12: Real-Time Monitoring & Fault Detection in Energy Infrastructure
Chapter 13: Energy Storage and Optimization Techniques
Chapter 14: Integrating Renewable Energy Sources with IoT and AI
Chapter 15: Case Studies: Successful Implementations of Secure Energy Optimization using IoT and AI
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