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: Leveraging Internet of Things and Artificial Intelligence for Enhanced Efficiency 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. They will investigate the successful integration of IoT and AI technologies in energy management systems, smart grids, and renewable energy sources using real-world case studies and examples. By bringing together theoretical notions, cutting-edge research, and practical examples, this book bridges the gap between theory and implementation.

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Yes, you can access Secure Energy Optimization by Abhishek Kumar,Surbhi Bhatia Khan,Narayan Vyas,Vishal Dutt,Shakila Basheer in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Energy. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Physical Sciences

Subtopic

Energy

Cover
Series Page
Title Page
Copyright Page
Contents
Preface
Chapter 1 Exploring the IoT and AI Technologies in Energy-Efficient Sustainable Agriculture
Chapter 2 A Comprehensive Review of Machine Learning Techniques for Smart Grid Optimization
Chapter 3 Innovations in Machine Learning for Energy Efficiency: Bridging Predictive Analytics and Real-World Applications
Chapter 4 Understanding Energy Security Elements and Challenges
Chapter 5 Energy Storage and Optimization Techniques
Chapter 6 IoT-Enabled Energy Storage Systems: Challenges and Solutions
Chapter 7 Dynamic Pricing and Energy Optimization Strategies
Chapter 8 Smart Energy: Harnessing IoT and AI for Renewable Resource Integration
Chapter 9 Machine Learning Algorithms for Energy Efficiency Enhancement
Chapter 10 Optimizing Vulnerable Energy User Support in England through Clustering Analysis
Chapter 11 Real-Time Monitoring & Fault Detection in Energy Infrastructure
Chapter 12 Robust Security Strategies for Smart Grid Networks: Integration of AI, Blockchain, and Resource-Efficient Techniques
Chapter 13 The Power of Prediction: Revolutionizing Energy Management
Chapter 14 Predictive Analytics as a Pathway to Intelligent Demand Response and Load Management
Chapter 15 Data Collection and Analysis for Real-Time Secure Energy Monitoring and Optimization
Chapter 16 Methods for Implementing Real-Time Pricing and Improving Energy Efficiency
Chapter 17 Case Studies: Successful Implementations of Secure Energy Optimization Using IoT and AI
About the Editors
Index
Also of Interest
EULA

About this book

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Table of contents