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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.

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Secure Energy Optimization: Leveraging IoT And AI For Enhanced Efficiency

Secure Energy Optimization: Leveraging IoT And AI For Enhanced Efficiency

Publisher: Wiley

Editors: Abhishek Kumar, Surbha 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 Deadline30 April 2024
Abstract Acceptance NotificationFebruary 2024
Full Chapter Submission Deadline30 August 2024
Chapter Acceptance Notification30 Setpember 2024
Projected Book Release DateAugust 2024
Important Guidelines
Citation StyleAPA (7th Edition)
Formatting11 pt Times Roman, 1.5 line spacing
OriginalityPlagiarism Under 10%, 0% AI Generated Content
Headings
  • Heading 1: ALL BOLD CAPS
  • Heading 2: Bold Title Case
  • Heading 3: Bold Italic Title Case
  • Heading 4: Bold Italic Sentence case
  • Heading 5: Light Italic Sentence case
  • Paragraphs: Should be Numbered (1.1, 1.1.1, etc.)
  • 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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