Smart Engineering Systems: Design and Applications Ser.: Machine Learning and...
Explore the convergence of Machine Learning and the Internet of Things (IoT) in revolutionizing solar power generation. This book, authored by Dr. N.G.P. Umapathy, delves into cutting-edge techniques and applications that are shaping the future of renewable energy. Discover how ML algorithms and IoT devices can optimize solar energy production, enhance grid management, and predict maintenance needs, leading to greater efficiency and reliability. Gain insights into the practical implementation of these technologies, challenges, and future prospects in the solar industry. Key topics covered include: - AI-driven solar forecasting - IoT sensor networks for real-time monitoring - Predictive maintenance for solar farms - Smart grid integration with solar power - Case studies and real-world applications This paperback is an essential read for researchers, engineers, and professionals seeking to understand and leverage the power of Machine Learning and IoT in the solar energy sector. A comprehensive resource for advancing sustainable energy solutions. Machine Learning, Internet of Things, Solar Power Generation, Renewable Energy, AI, IoT, Solar Energy, Smart Grid, Prabha Umapathy, NGP Institute of Technology.
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Details:Smart Engineering Systems: Design and Applications Ser.: Machine Learning and...
Explore the convergence of Machine Learning and the Internet of Things (IoT) in revolutionizing solar power generation. This book, authored by Dr. N.G.P. Umapathy, delves into cutting-edge techniques and applications that are shaping the future of renewable energy. Discover how ML algorithms and IoT devices can optimize solar energy production, enhance grid management, and predict maintenance needs, leading to greater efficiency and reliability. Gain insights into the practical implementation of these technologies, challenges, and future prospects in the solar industry. Key topics covered include: - AI-driven solar forecasting - IoT sensor networks for real-time monitoring - Predictive maintenance for solar farms - Smart grid integration with solar power - Case studies and real-world applications This paperback is an essential read for researchers, engineers, and professionals seeking to understand and leverage the power of Machine Learning and IoT in the solar energy sector. A comprehensive resource for advancing sustainable energy solutions. Machine Learning, Internet of Things, Solar Power Generation, Renewable Energy, AI, IoT, Solar Energy, Smart Grid, Prabha Umapathy, NGP Institute of Technology.
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Product Description
Explore the convergence of Machine Learning and the Internet of Things (IoT) in revolutionizing solar power generation. This book, authored by Dr. N.G.P. Umapathy, delves into cutting-edge techniques and applications that are shaping the future of renewable energy. Discover how ML algorithms and IoT devices can optimize solar energy production, enhance grid management, and predict maintenance needs, leading to greater efficiency and reliability. Gain insights into the practical implementation of these technologies, challenges, and future prospects in the solar industry. Key topics covered include: - AI-driven solar forecasting - IoT sensor networks for real-time monitoring - Predictive maintenance for solar farms - Smart grid integration with solar power - Case studies and real-world applications This paperback is an essential read for researchers, engineers, and professionals seeking to understand and leverage the power of Machine Learning and IoT in the solar energy sector. A comprehensive resource for advancing sustainable energy solutions. Machine Learning, Internet of Things, Solar Power Generation, Renewable Energy, AI, IoT, Solar Energy, Smart Grid, Prabha Umapathy, NGP Institute of Technology.
Product Specifications
General | |
|---|---|
format | paperback |
Language | english |
series | design and applications ser. |
type | textbook |
Brand | Taylor & Francis Ltd |
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