Artificial Intelligence And Internet Of Things For Renewable Energy Systems

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AI and IOT in Renewable Energy

Author : Rabindra Nath Shaw
Publisher : Springer Nature
ISBN 13 : 9811610118
Total Pages : 109 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Springer Nature. This book was released on 2021-05-12 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110714043
Total Pages : 318 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Artificial Intelligence and Internet of Things for Renewable Energy Systems written by Neeraj Priyadarshi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Rabindra Nath Shaw
Publisher : Academic Press
ISBN 13 : 0323984010
Total Pages : 248 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Applications of AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book Applications of AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Academic Press. This book was released on 2022-02-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : S. Vijayalakshmi
Publisher : Springer Nature
ISBN 13 : 3031150449
Total Pages : 318 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis AI-Powered IoT in the Energy Industry by : S. Vijayalakshmi

Download or read book AI-Powered IoT in the Energy Industry written by S. Vijayalakshmi and published by Springer Nature. This book was released on 2023-04-05 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

IoT and Analytics in Renewable Energy Systems (Volume 1)

Author : O.V. Gnana Swathika
Publisher : CRC Press
ISBN 13 : 1000909778
Total Pages : 335 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 1) by : O.V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 1) written by O.V. Gnana Swathika and published by CRC Press. This book was released on 2023-08-11 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Artificial Intelligence of Things for Smart Green Energy Management

Author : Sarah El Himer
Publisher : Springer Nature
ISBN 13 : 3031048512
Total Pages : 240 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence of Things for Smart Green Energy Management by : Sarah El Himer

Download or read book Artificial Intelligence of Things for Smart Green Energy Management written by Sarah El Himer and published by Springer Nature. This book was released on 2022-06-23 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects. It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries. The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.

IoT and Analytics in Renewable Energy Systems (Volume 1)

Author : O. V. Gnana Swathika
Publisher :
ISBN 13 : 9781032362816
Total Pages : 0 pages
Book Rating : 4.3/5 (628 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 1) by : O. V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 1) written by O. V. Gnana Swathika and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : O. V. Gnana Swathika
Publisher :
ISBN 13 : 9781003374121
Total Pages : 0 pages
Book Rating : 4.3/5 (741 download)

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Book Synopsis IOT and Analytics in Renewable Energy Systems by : O. V. Gnana Swathika

Download or read book IOT and Analytics in Renewable Energy Systems written by O. V. Gnana Swathika and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Fivesalient 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

IoT and Analytics in Renewable Energy Systems (Volume 2)

Author : O.V. Gnana Swathika
Publisher : CRC Press
ISBN 13 : 1000911020
Total Pages : 345 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis IoT and Analytics in Renewable Energy Systems (Volume 2) by : O.V. Gnana Swathika

Download or read book IoT and Analytics in Renewable Energy Systems (Volume 2) written by O.V. Gnana Swathika and published by CRC Press. This book was released on 2023-08-11 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Author : Arpit Jain
Publisher : CRC Press
ISBN 13 : 1000934004
Total Pages : 160 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by : Arpit Jain

Download or read book Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things written by Arpit Jain and published by CRC Press. This book was released on 2023-09-01 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

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

Author : C. Sharmeela
Publisher : CRC Press
ISBN 13 : 1000824403
Total Pages : 305 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems by : C. Sharmeela

Download or read book IoT, Machine Learning and Blockchain Technologies for Renewable Energy and Modern Hybrid Power Systems written by C. Sharmeela and published by CRC Press. This book was released on 2023-01-27 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book comprises chapters that describe the IoT, machine learning, and blockchain technologies for renewable energy and modern hybrid power systems with simulation examples and case studies. After reading this book, users will understand recent technologies such as IoT, machine learning techniques, and blockchain technologies and the application of these technologies to renewable energy resources and modern hybrid power systems through simulation examples and case studies.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Author : Miltiadis D. Lytras
Publisher : MDPI
ISBN 13 : 303928889X
Total Pages : 258 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Artificial Intelligence for Smart and Sustainable Energy Systems and Applications by : Miltiadis D. Lytras

Download or read book Artificial Intelligence for Smart and Sustainable Energy Systems and Applications written by Miltiadis D. Lytras and published by MDPI. This book was released on 2020-05-27 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Author : Neelu Nagpal
Publisher : CRC Press
ISBN 13 : 1000963829
Total Pages : 318 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Big Data and Artificial Intelligence in Smart Energy Systems by : Neelu Nagpal

Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-09-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.

Role of IoT in Green Energy Systems

Author : Ponnusamy, Vasaki
Publisher : IGI Global
ISBN 13 : 1799867110
Total Pages : 405 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Role of IoT in Green Energy Systems by : Ponnusamy, Vasaki

Download or read book Role of IoT in Green Energy Systems written by Ponnusamy, Vasaki and published by IGI Global. This book was released on 2021-02-05 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of Industry 4.0, the world is increasingly becoming smarter as everything from mobile phones to cars to TVs connects with unique addresses and communication mechanisms. However, in order to enable the smart world to be sustainable, ICT must embark into energy efficient paradigms. Green ICT is a moving factor contributing towards energy efficiency by reducing energy utilization through software or hardware procedures. Role of IoT in Green Energy Systems presents updated research trends in green technology and the latest product and application developments towards green energy. Covering topics that include energy conservation and harvesting, renewable energy, and green and underwater internet of things, this essential reference book creates further awareness of smart energy and critically examines the contributions of ICT towards green technologies. IT specialists, researchers, academicians, and students in the area of energy harvesting and energy management, and/or those working towards green energy technologies, wireless sensor networks, and smart applications will find this monograph beneficial in their studies.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Author : Neelu Nagpal
Publisher : CRC Press
ISBN 13 : 1000963977
Total Pages : 250 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Big Data and Artificial Intelligence in Smart Energy Systems by : Neelu Nagpal

Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-11-23 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110714159
Total Pages : 395 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Artificial Intelligence and Internet of Things for Renewable Energy Systems written by Neeraj Priyadarshi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. --

Introduction to AI Techniques for Renewable Energy System

Author : Suman Lata Tripathi
Publisher : CRC Press
ISBN 13 : 1000392457
Total Pages : 423 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Introduction to AI Techniques for Renewable Energy System by : Suman Lata Tripathi

Download or read book Introduction to AI Techniques for Renewable Energy System written by Suman Lata Tripathi and published by CRC Press. This book was released on 2021-11-25 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.