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.

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Yes, you can access Internet of Energy for Smart Cities by Anish Jindal, Neeraj Kumar, Gagangeet Singh Aujla in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

CRC Press

Year

2021

ISBN

9781000411003

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

Cover
Half Title
Title
Copyright
Contents
Preface
Editors
Contributors
SECTION I Overview
SECTION II Smart Grids
SECTION III Internet of Energy (IoE)
SECTION IV Machine Learning Models
SECTION V Case Studies and Future Directions