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Full Description
Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book:
Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions
Points to the solutions provided by machine learning to optimize the grids within a smart city set-up
Discusses relevant IoE design principles and architecture
Helps to automate various services in smart cities for energy management
Includes case studies to show the effectiveness of the discussed schemes
Contents
1. Smart City: The Verticals of Energy Demand and Challenges. 2. Conventional Power Grid to Smart Grid. 3. Smart Grids: An Integrated Perspective. 4. Internet of Energy: Solution for Smart Cities. 5. IoE Applications for Smart Cities. 6. IoE Design Principles and Architecture. 7. Machine Learning Models for Smart Cities. 8. Machine Learning Models in Smart Cities - Data-Driven Perspective.9. Case Study - 1: Machine Learning Techniques for Monitoring of PV Panel. 10. Case Study - 2: Intelligent Control System for Smart Environment. 11. Pathway and Future of the IoE in Smart Cities.
