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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 Internet of Things and Artificial Intelligence for Enhanced Efficiency

Secure Energy Optimization: Leveraging Internet of Things and Artificial Intelligence for Enhanced Efficiency

Price: 225.00 $ | Publisher: Scrivener Publishing LLC

Editors: Abhishek Kumar, Surbhi Bhatia Khan, Narayan Vyas, Vishal Dutt, Shakila Basheer

Release Date: 22 August 2025 | Copyright: © 2025 Scrivener Publishing LLC | Language: English | Categories: Energy Optimization, Artificial Intelligence, Internet of Things, Smart Grid, Sustainability

ISBN: 9781394271818 | DOI: 10.1002/9781394271849

Secure Energy Optimization: Leveraging Internet of Things and Artificial Intelligence for Enhanced Efficiency is essential for anyone looking to navigate the transformative landscape of energy management, as it expertly combines the principles of IoT and AI with real-world case studies to provide actionable insights for achieving sustainable and efficient energy optimization.

Energy is rapidly changing, with an emphasis on sustainable and efficient energy use. In this context, the combination of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has emerged as a potent technique for optimising energy use, improving efficiency, and enhancing overall energy security. Secure Energy Optimization provides a comprehensive review of how IoT and AI can be used to accomplish safe energy optimisation. Readers will gain an understanding of the underlying principles of IoT and AI, as well as their applications in energy efficiency and the problems and hazards related to their adoption. By bringing together theoretical notions, cutting-edge research, and practical examples, this book bridges the gap between theory and implementation.

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  • Chapter 1: Exploring the IoT and AI Technologies in Energy-Efficient Sustainable Agriculture

    Authors: M. Muthumalathi, Ponnarasi Loganathan, P.B. Pankajavalli, A. Priya Dharshini

  • Chapter 2: A Comprehensive Review of Machine Learning Techniques for Smart Grid Optimization

    Authors: Gaurav Gupta, Abhishek Tomar, Saigurudatta Pamulaparthyvenkata, Anandaganesh Balakrishnan

  • Chapter 3: Innovations in Machine Learning for Energy Efficiency: Bridging Predictive Analytics and Real-World Applications

    Authors: Aditya Vardhan, Amarjeet Singh Chauhan, Mohit Yadav, Sanjay Saini, Sagar Sharma

  • Chapter 4: Understanding Energy Security Elements and Challenges

    Authors: Priya Batta

  • Chapter 5: Energy Storage and Optimization Techniques

    Authors: Mamta

  • Chapter 6: IoT-Enabled Energy Storage Systems: Challenges and Solutions

    Authors: Dankan Gowda V., Mirza Shuja, Christian Rafael Quevedo Lezama, Pullela S.V.V.S.R. Kumar, Suganthi N.

  • Chapter 7: Dynamic Pricing and Energy Optimization Strategies

    Authors: Inderjeet Singh, Muskan Sharma, Suvigya Yadav, Yash Mahajan, Koushik Sundar

  • Chapter 8: Smart Energy: Harnessing IoT and AI for Renewable Resource Integration

    Authors: Ashutosh Pagrotra

  • Chapter 9: Machine Learning Algorithms for Energy Efficiency Enhancement

    Authors: Neetu Rani, Narinder Yadav, Poonam Singh, Vanshika

  • Chapter 10: Optimizing Vulnerable Energy User Support in England through Clustering Analysis

    Authors: Shola E. Ayeotan, Surbhi Bhatia Khan

  • Chapter 11: Real-Time Monitoring & Fault Detection in Energy Infrastructure

    Authors: Amit Sharma, Titu Singh Arora

  • Chapter 12: Robust Security Strategies for Smart Grid Networks: Integration of AI, Blockchain, and Resource-Efficient Techniques

    Authors: Santhosh Kumar C., Nancy Lima Christy S., S. Sindhuja, Madhan K.

  • Chapter 13: The Power of Prediction: Revolutionizing Energy Management

    Authors: Neha Bhati, Hardik Dhiman, Surendra Yadav, Rakesh Sharma, Gajendra Shrimal, Jitendra Kumar Katariya

  • Chapter 14: Predictive Analytics as a Pathway to Intelligent Demand Response and Load Management

    Authors: Aditya Vardhan, Amarjeet Singh Chauhan, Sagar Sharma

  • Chapter 15: Data Collection and Analysis for Real-Time Secure Energy Monitoring and Optimization

    Authors: Dankan Gowda V., Pullela S.V.V.S.R. Kumar, Madan Mohanrao Jagtap, Shekhar R., Rahul Vadisetty

  • Chapter 16: Methods for Implementing Real-Time Pricing and Improving Energy Efficiency

    Authors: Amit Sharma

  • Chapter 17: Case Studies: Successful Implementations of Secure Energy Optimization Using IoT and AI

    Authors: Saritakumar N., Sudharsan M. K., Gowthaman S., Sreeman T. S., Harrish Sridhar

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