IoT and Analytics in Renewable Energy Systems (Volume 1)
IoT and Analytics in Renewable Energy Systems (Volume 1)

Author: O.V. Gnana Swathika

Publisher: CRC Press

Published: 2023-08-11

Total Pages: 335

ISBN-13: 1000909778

DOWNLOAD EBOOK

Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

IoT and Analytics in Renewable Energy Systems (Volume 2)
IoT and Analytics in Renewable Energy Systems (Volume 2)

Author: O.V. Gnana Swathika

Publisher: CRC Press

Published: 2023-08-11

Total Pages: 345

ISBN-13: 1000911020

DOWNLOAD EBOOK

Smart cities emanate from a smart renewable-energy-aided power grid. The smart grid technologies offer an array of benefits like reliability, availability, and resiliency. Smart grids phenomenally contribute to facilitating cities reaching those sustainability goals over time. Digital technologies, such as the Internet of Things (IoT), automation, artificial intelligence (AI) and machine learning (ML) significantly contribute to the two-way communication between utilities and customers in smart cities. Five salient features of this book are as follows: Smart grid to the smart customer Intelligent computing for smart grid applications Novel designs of IoT systems such as smart healthcare, smart transportation, smart home, smart agriculture, smart manufacturing, smart grid, smart education, smart government, smart traffic management systems Innovations in using IoT and AI in improving resilience of smart energy infrastructure Challenges and future research directions of smart city applications

Biomass and Solar-Powered Sustainable Digital Cities
Biomass and Solar-Powered Sustainable Digital Cities

Author: O. V. Gnana Swathika

Publisher: John Wiley & Sons

Published: 2024-09-11

Total Pages: 389

ISBN-13: 1394249357

DOWNLOAD EBOOK

Written and edited by a team of experts in the field, this groundbreaking new volume from Wiley-Scrivener offers the latest trends, processes, and breakthroughs in biomass and solar-powered technologies aimed at marching toward sustainable digital cities. This exciting new volume includes the research contribution of experts in solar and biomass-powered digital cities, incorporating sustainability by embedding computing and communication in day-to-day smart city applications. This book will be of immense use to practitioners in industries focusing on adaptive configuration and optimization in smart city systems. A wide array of smart city applications is also discussed with suitable use cases. The contributors to this book include renowned academics, industry practitioners, and researchers. Through case studies, it offers a rigorous introduction to the theoretical foundations, techniques, and practical solutions in this exciting area. Building smart cities with effective communication, control, intelligence, and security is discussed from societal and research perspectives. Whether for the veteran engineer, new hire, or student, this is a must-have volume for any library.

Artificial Intelligence and Internet of Things for Renewable Energy Systems
Artificial Intelligence and Internet of Things for Renewable Energy Systems

Author: Neeraj Priyadarshi

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-11-22

Total Pages: 318

ISBN-13: 3110714043

DOWNLOAD EBOOK

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Applications of AI and IOT in Renewable Energy
Applications of AI and IOT in Renewable Energy

Author: Rabindra Nath Shaw

Publisher: Academic Press

Published: 2022-02-09

Total Pages: 248

ISBN-13: 0323984010

DOWNLOAD EBOOK

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data

Soft Computing in Renewable Energy Technologies
Soft Computing in Renewable Energy Technologies

Author: Najib El Ouanjli

Publisher: CRC Press

Published: 2024-10-10

Total Pages: 228

ISBN-13: 1040121942

DOWNLOAD EBOOK

This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. It covers topics such as solar energy, wind energy, and solar concentrator technologies, as well as building systems and power generation systems. In all these areas, applications of soft computing methods such as artificial neural networks, genetic algorithms, particle swarm optimization, cuckoo search, fuzzy logic, and a combination of these, called hybrid systems, are included. This book is a source for students interested in the fields of renewable energy and the application of the soft computing. In addition, our book can be considered as a reference for researchers and academics since it will include applications of soft computing in different renewable energy systems.

IoT and Analytics in Renewable Energy Systems (Volume 1)
IoT and Analytics in Renewable Energy Systems (Volume 1)

Author: O.V. Gnana Swathika

Publisher: CRC Press

Published: 2023-08-11

Total Pages: 471

ISBN-13: 1000909794

DOWNLOAD EBOOK

Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

Integrated Green Energy Solutions, Volume 1
Integrated Green Energy Solutions, Volume 1

Author: Milind Shrinivas Dangate

Publisher: John Wiley & Sons

Published: 2023-06-20

Total Pages: 404

ISBN-13: 1119847435

DOWNLOAD EBOOK

INTEGRATED GREEN ENERGY SOLUTIONS This first volume in a two-volume set presents the state of the art for the concepts, practical applications, and future of renewable energy and how to move closer to true sustainability. Renewable energy supplies are of ever-increasing environmental and economic importance in every country worldwide. A wide range of renewable energy technologies has been established commercially and recognized as an important set of growth industries for most governments. World agencies, including the United Nations, have extensive programs to encourage these emerging technologies. This book will bridge the gap between descriptive reviews and specialized engineering technologies. It centers on demonstrating how fundamental physical processes govern renewable energy resources and their applications. Although the applications are updated continually, the fundamental principles remain the same, and this book will provide a useful platform for those advancing the subject and its industries. Integrated Resilient Energy Solutions is a two-volume set covering subjects of proven technical and economic importance worldwide. Energy supply from renewables is an essential component of every nation’s strategy, especially when there is responsibility for the environment and sustainability. These two volumes will consider the timeless renewable energy technologies’ principles yet demonstrate modern applications and case studies. Whether for the veteran engineer, student, or other professional, these two volumes are a must-have for any library.

Internet of Things and Big Data Analytics-Based Manufacturing
Internet of Things and Big Data Analytics-Based Manufacturing

Author: Arun Kumar Rana

Publisher: CRC Press

Published: 2024-10-17

Total Pages: 288

ISBN-13: 1040127517

DOWNLOAD EBOOK

By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries. Modern businesses can more readily implement new data-driven strategies and deal with the pressure of international competition thanks to Industrial IoT. But as the use of IoT grows, the amount of created data rises, turning industrial data into Industrial Big Data. Internet of Things and Big Data Analytics-Based Manufacturing shows how Industrial Big Data can be produced as a result of IoT usage in manufacturing, considering sensing systems and mobile devices. Different IoT applications that have been developed are demonstrated and it is shown how genuine industrial data can be produced, leading to Industrial Big Data. This book is organized into four sections discussing IoT and technology, the future of Big Data, algorithms, and case studies demonstrating the use of IoT and Big Data in a variety of industries, including automation, industrial manufacturing, and healthcare. This reference title brings all related technologies into a single source so that researchers, undergraduate and postgraduate students, academicians, and those in the industry can easily understand the topic and further their knowledge.