IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems

This edited book discusses the Internet of Things (IoT), machine learning, and blockchain technologies for renewable energy and modern hybrid power systems, with simulation examples and case studies.

Format: Hardback
Length: 274 pages
Publication date: 27 January 2023
Publisher: River Publishers

This edited book is a comprehensive resource that delves into the realm of renewable energy and modern hybrid power systems, offering insightful chapters that explore the latest technologies such as IoT, machine learning, and blockchain. Through detailed explanations, simulation examples, and case studies, readers gain a deep understanding of these cutting-edge technologies and their practical applications in the field of renewable energy.

The Internet of Things (IoT) is a revolutionary technology that enables the seamless connection of devices and objects to the internet, enabling them to collect and share data. In the context of renewable energy, IoT plays a crucial role in monitoring and managing energy production, optimizing energy consumption, and improving the efficiency of renewable energy systems.

Machine learning is a subset of artificial intelligence that involves the use of algorithms to analyze and interpret data, enabling computers to make predictions and decisions based on patterns and trends. In renewable energy, machine learning techniques are used to analyze large amounts of data from renewable energy sources, such as solar and wind power, to improve the accuracy of energy predictions and optimize the performance of renewable energy systems.

Blockchain technology is a distributed ledger system that enables secure and transparent transactions between multiple parties. In renewable energy, blockchain technology is used to create decentralized energy markets, where consumers can buy and sell renewable energy directly, without the need for intermediaries. This reduces transaction costs and increases the efficiency of energy distribution.

The chapters in this edited book provide a comprehensive overview of these technologies and their applications in renewable energy and modern hybrid power systems. They cover topics such as IoT infrastructure, machine learning algorithms, blockchain applications, and case studies of successful implementations in various industries.

By reading this book, readers will gain a comprehensive understanding of the latest technologies in renewable energy and modern hybrid power systems, enabling them to make informed decisions about the development and implementation of these technologies in their own organizations. The book is a valuable resource for professionals, researchers, and students interested in renewable energy, energy management, and technology.

In conclusion, this edited book is a must-read for anyone interested in the latest technologies in renewable energy and modern hybrid power systems. It provides a comprehensive overview of IoT, machine learning, and blockchain technologies, along with simulation examples and case studies, to help readers gain a deep understanding of these technologies and their practical applications.

Weight: 720g
Dimension: 234 x 156 (mm)
ISBN-13: 9788770227247