Machine Learning And The Internet Of Things In Solar Power Generation
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Machine Learning And The Internet Of Things In Solar Power Generation
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Author : Prabha Umapathy
language : en
Publisher: CRC Press
Release Date : 2023-07-14
Machine Learning And The Internet Of Things In Solar Power Generation written by Prabha Umapathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Computers categories.
The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental. This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances. The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.
Machine Learning And The Internet Of Things In Solar Power Generation
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Author : Prabha Umapathy
language : en
Publisher: CRC Press
Release Date : 2023-07-14
Machine Learning And The Internet Of Things In Solar Power Generation written by Prabha Umapathy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-14 with Computers categories.
The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental. This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances. The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.
Machine Learning Deep Learning Big Data And Internet Of Things For Healthcare
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Author : Govind Singh Patel
language : en
Publisher: CRC Press
Release Date : 2022-08-25
Machine Learning Deep Learning Big Data And Internet Of Things For Healthcare written by Govind Singh Patel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-25 with Computers categories.
This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)—the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments. This book offers comprehensive coverage of the most essential topics, including: Introduction to e-monitoring for healthcare Case studies based on big data and healthcare Intelligent learning analytics in healthcare sectors using machine learning and IoT Identifying diseases and diagnosis using machine learning and IoT Deep learning architecture and framework for healthcare using IoT Knowledge discovery from big data of healthcare-related processing Big data and IoT in healthcare Role of IoT in sustainable healthcare A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters
Artificial Intelligence And Internet Of Things For Renewable Energy Systems
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Author : Neeraj Priyadarshi
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-11-22
Artificial Intelligence And Internet Of Things For Renewable Energy Systems written by Neeraj Priyadarshi and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Computers categories.
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.
Artificial Intelligence Internet Of Things Iot And Smart Materials For Energy Applications
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Author : Mohan Lal Kolhe
language : en
Publisher: CRC Press
Release Date : 2022-10-12
Artificial Intelligence Internet Of Things Iot And Smart Materials For Energy Applications written by Mohan Lal Kolhe and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-12 with Computers categories.
This reference text offers the reader a comprehensive insight into recent research breakthroughs in blockchain, the Internet of Things (IoT), artificial intelligence and material structure and hybrid technologies in their integrated platform, while also emphasizing their sustainability aspects. The text begins by discussing recent advances in energy materials and energy conversion materials using machine learning, as well as recent advances in optoelectronic materials for solar energy applications. It covers important topics including advancements in electrolyte materials for solid oxide fuel cells, advancements in composite materials for Li-ion batteries, progression of materials for supercapacitor applications, and materials progression for thermochemical storage of low-temperature solar thermal energy systems. This book: Discusses advances in blockchain, the Internet of Things, artificial intelligence, material structure and hybrid technologies Covers intelligent techniques in materials progression for sensor development and energy material characterization using signal processing Examines the integration of phase change materials in construction for thermal energy regulation in new buildings Explores the current happenings in technology in conjunction with basic laws and mathematical models Connecting advances in engineering materials with the use of smart techniques including artificial intelligence, machine learning and Internet of Things (IoT) in a single volume, this text will be especially useful for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, mechanical engineering and computer science.
Ai Powered Iot In The Energy Industry
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Author : S. Vijayalakshmi
language : en
Publisher: Springer Nature
Release Date : 2023-04-05
Ai Powered Iot In The Energy Industry written by S. Vijayalakshmi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-05 with Technology & Engineering categories.
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.
Next Generation Therapeutics Using Internet Of Things And Machine Learning
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Author : Shuaib, Mohammed
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Next Generation Therapeutics Using Internet Of Things And Machine Learning written by Shuaib, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.
The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In environmental management, IoT and ML contribute to sustainable solutions by tracking air and water quality, predicting pollution trends, and optimizing resource usage. Their application in decentralized health records and chronic disease management streamlines operations, reduces costs, and empowers individuals with greater control over their health. As these technologies continue to evolve, they hold immense potential to create smarter, more resilient healthcare and environmental systems. Next-Generation Therapeutics Using Internet of Things and Machine Learning provides a comprehensive framework for understanding and implementing IoT and ML in healthcare and environmental monitoring. By exploring practical applications, this book delves into how these technologies are reshaping diagnostics, patient care, operational efficiencies, and environmental sustainability. Covering topics such as artificial intelligence (AI), medical data exchange, and sustainability, this book is an excellent resource for researchers, practitioners, students, and more.
Sustainable Smart Homes And Buildings With Internet Of Things
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Author : Pramod Singh Rathore
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-02
Sustainable Smart Homes And Buildings With Internet Of Things written by Pramod Singh Rathore and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Architecture categories.
Written and edited by a team of experts in the field, this exciting new volume explores the real-world applications and methods for using Internet of Things (IoT) to make homes and buildings smart and sustainable and to continue working toward a “greener” world. Sustainable Smart Homes and Buildings with Internet of Things (IoT) is a book that explores the integration of renewable energy sources and IoT technology in the design and management of smart homes and buildings. The book covers various topics related to the subject, including energy efficiency, real-time monitoring, control and optimization of renewable energy sources, smart grid integration, energy storage systems, and microgrids. The book explains how IoT technology can be used to collect data from various sensors and devices installed in smart homes and buildings to create a real-time monitoring and control system for renewable energy sources, which can help optimize energy usage and reduce waste. It also discusses the challenges and opportunities associated with the integration of renewable energy sources in smart homes and buildings, and how these challenges can be addressed through the use of IoT technology. The book is intended for architects, engineers, building managers, energy professionals, and researchers interested in the design and management of sustainable smart homes and buildings. It provides practical insights, case studies, and examples that illustrate the benefits of using renewable energy sources and IoT technology to create energy-efficient, environmentally friendly, and comfortable living spaces.
Mobile Radio Communications And 5g Networks
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Author : Nikhil Kumar Marriwala
language : en
Publisher: Springer Nature
Release Date : 2024-04-29
Mobile Radio Communications And 5g Networks written by Nikhil Kumar Marriwala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Technology & Engineering categories.
This book features selected high-quality papers from the Forth International Conference on Mobile Radio Communications and 5G Networks (MRCN 2023), held at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, India, during August 25–26, 2023. The book features original papers by active researchers presented at the International Conference on Mobile Radio Communications and 5G Networks. It includes recent advances and upcoming technologies in the field of cellular systems, 2G/2.5G/3G/4G/5G, and beyond, LTE, WiMAX, WMAN, and other emerging broadband wireless networks, WLAN, WPAN, and various home/personal networking technologies, pervasive and wearable computing and networking, small cells and femtocell networks, wireless mesh networks, vehicular wireless networks, cognitive radio networks and their applications, wireless multimedia networks, green wireless networks, standardization of emerging wireless technologies, power management and energy conservation techniques.
Computational Intelligence In Internet Of Agricultural Things
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Author : M. G. Sumithra
language : en
Publisher: Springer Nature
Release Date : 2024-08-27
Computational Intelligence In Internet Of Agricultural Things written by M. G. Sumithra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.
This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader's comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.