TY  - BOOK
AU  - Jindal, Anish 
AU  - Kumar, Neeraj 
AU  - Aujla, Gagangeet Singh 
TI  - Internet of Energy for Smart Cities : : Machine Learning Models and Techniques  
SN  - 9780367497750
U1  - 621.310 23
PY  - 2022///
CY  - London
PB  - Taylor & Francis Ltd, 
KW  - Automatic control engineering
KW  - COMPUTERS / Machine Theory
N1  - 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
N2  - 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 helps build the technical understanding for the reader
ER  -