Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer and student, alike, up to date on current trends in the technology and offer a reference for the industry for its practical applications.

Energy optimization and consumption prediction are necessary to prevent energy waste, schedule energy usage, and reduce the cost. Today, smart computing technologies are slowly replacing the traditional computational methods in energy optimization, consumption, scheduling, and usage. Smart computing is an important core technology in today's scientific and engineering environment. Smart computation techniques such as artificial intelligence, machine learning, deep learning and Internet of Things (IoT) are the key role players in emerging technologies across different applications, industries, and other areas. These newer, smart computation techniques are incorporated with traditional computation and scheduling methods to reduce power usage in areas such as distributed environment, healthcare, smart cities, agriculture and various functional areas.

The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addresses the various limitations, issues and challenges of traditional energy consumption methods and provides solutions for various issues using modern smart computation technologies. These smart technologies play a significant role in power consumption, and they are cheaper compared to traditional technologies. The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied across a wide variety of industries and engineering areas. Valuable as reference for engineers, scientists, students, and other professionals across many areas, this is a must-have for any library.

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Yes, you can access Hybrid Intelligent Approaches for Smart Energy by John A,Senthil Kumar Mohan,P. Sanjeevikumar,Yasir Hamid,Sanjeevikumar Padmanaban,John A. in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Title Page
Copyright Page
Contents
List of Contributors
Preface
Acknowledgements
Chapter 1 Review and Analysis of Machine Learning Based Techniques for Load Forecasting in Smart Grid System
Chapter 2 Energy Optimized Techniques in Cloud and Fog Computing
Chapter 3 Energy-Efficient Cloud Computing Techniques for Next Generation: Ways of Establishing and Strategies for Future Developments
Chapter 4 Energy Optimization Using Silicon Dioxide Composite and Analysis of Wire Electrical Discharge Machining Characteristics
Chapter 5 Optimal Planning of Renewable DG and Reconfiguration of Distribution Network Considering Multiple Objectives Using PSO Technique for Different Scenarios
Chapter 6 Investigation of Energy Optimization for Spectrum Sensing in Distributed Cooperative IoT Network Using Deep Learning Techniques
Chapter 7 Road Network Energy Optimization Using IoT and Deep Learning
Chapter 8 Energy Optimization in Smart Homes and Buildings
Chapter 9 Machine Learning Based Approach for Energy Management in the Smart City Revolution
Chapter 10 Design of an Energy Efficient IoT System for Poultry Farm Management
Chapter 11 IoT Based Energy Optimization in Smart Farming Using AI
Chapter 12 Smart Energy Management Techniques in Industries 5.0
Chapter 13 Energy Optimization Techniques in Telemedicine Using Soft Computing
Chapter 14 Healthcare: Energy Optimization Techniques Using IoT and Machine Learning
Chapter 15 Case Study of Energy Optimization: Electric Vehicle Energy Consumption Minimization Using Genetic Algorithm
About the Editors
Index
EULA

About this book

Frequently asked questions

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Table of contents