Internet of Energy for Smart Cities: Machine Learning Models and Techniques 1st Edition by Jindal Anish 9781000411003 1000411001

Internet of Energy for Smart Cities: Machine Learning Models and Techniques 1st Edition Jindal Anish – Ebook Instant Download/Delivery ISBN(s): 9780367497750,0367497751, 9781000411003, 1000411001

Product details:

• ISBN 10: 1000411001
• ISBN 13: 9781000411003
• Author:  Jindal Anish

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.

Table contents:

Chapter 1 Smart City: The Verticals of Energy Demand and Challenges

Chapter 2 Conventional Power Grid to Smart Grid

Chapter 3 Smart Grids: An Integrated Perspective

Chapter 4 IoE: Solution for Smart Cities

Chapter 5 IoE Applications for Smart Cities

Chapter 6 IoE Design Principles and Architecture

Chapter 7 Machine Learning Models for Smart Cities

Chapter 8 Machine Learning Models in Smart Cities – Data-Driven Perspective

Chapter 9 The Use of Machine Learning Techniques for Monitoring of Photovoltaic Panel Functionality

Chapter 10 Intelligent Control System for Smart Environment Using Internet of Things

Chapter 11 Pathway and Future of IoE in Smart Cities

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