AI and IOT in Renewable Energy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI and IOT in Renewable Energy write by Rabindra Nath Shaw. This book was released on 2021-05-12. AI and IOT in Renewable Energy available in PDF, EPUB and Kindle. This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.
Applications of AI and IOT in Renewable Energy
Applications of AI and IOT in Renewable Energy - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of AI and IOT in Renewable Energy write by Rabindra Nath Shaw. This book was released on 2022-02-09. Applications of AI and IOT in Renewable Energy available in PDF, EPUB and Kindle. 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 The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles.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
AI-Powered IoT in the Energy Industry
AI-Powered IoT in the Energy Industry - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Powered IoT in the Energy Industry write by S. Vijayalakshmi. This book was released on 2023-04-05. AI-Powered IoT in the Energy Industry available in PDF, EPUB and Kindle. AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. ​Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.
Artificial Intelligence and Internet of Things for Renewable Energy Systems
Artificial Intelligence and Internet of Things for Renewable Energy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Internet of Things for Renewable Energy Systems write by Neeraj Priyadarshi. This book was released on 2021-11-22. Artificial Intelligence and Internet of Things for Renewable Energy Systems available in PDF, EPUB and Kindle. 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.
IoT and Analytics in Renewable Energy Systems (Volume 1)
IoT and Analytics in Renewable Energy Systems (Volume 1) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IoT and Analytics in Renewable Energy Systems (Volume 1) write by O.V. Gnana Swathika. This book was released on 2023-08-11. IoT and Analytics in Renewable Energy Systems (Volume 1) available in PDF, EPUB and Kindle. 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
