ISBN: 9780443448355 - Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems: From Monitoring to Maintenance and Security (14 results)

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Paperback. Condition: new. Paperback. Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: New. Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems: From Monitoring to Maintenance and Security is a new handbook that explores the concepts of embedded AI (EAI), Internet of Things (IoT), and related techniques, and their role in addressing key problems in PV whilst enabling the transition from laboratory-scale developments to real-world applications. The book offers thorough, detailed coverage of methods and modern, end-to-end solutions to applying EAI techniques in PV systems, including in supervision, fault detection and diagnosis, smart monitoring systems, and predictive maintenance and security, guiding readers from AI model development to deployment. The first four chapters introduce and define key concepts, including photovoltaics, embedded artificial intelligence, edge devices and platforms, and Internet of Things, before an in-depth chapter describes databases and datasets, an essential component in the development of AI and EAI. The final five chapters focus on applications, by outlining key problems and giving case studies that address real-world issues in PV plants. This is a valuable resource to all those with an interest in photovoltaics and AI, particularly those who are looking to effectively apply embedded AI techniques in PV systems, including researchers, advanced students, faculty, engineers, project managers, technicians, RandD, and other industry professionals.…

Paperback. Condition: Brand New. 300 pages. 5.98x0.83x9.02 inches. In Stock.

Condition: New. Explains how to apply embedded AI techniques and their advantages in solving challenging real-world problems in photovoltaic systemsBridges the gap between laboratory-scale research and industrial applications by designing end-to-end protot.

Taschenbuch. Condition: Neu. Neuware - Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems: From Monitoring to Maintenance and Security is a new handbook that explores the concepts of embedded AI (EAI), Internet of Things (IoT), and related techniques, and their role in addressing key problems in PV whilst enabling the transition from laboratory-scale developments to real-world applications. The book offers thorough, detailed coverage of methods and modern, end-to-end solutions to applying EAI techniques in PV systems, including in supervision, fault detection and diagnosis, smart monitoring systems, and predictive maintenance and security, guiding readers from AI model development to deployment. The first four chapters introduce and define key concepts, including photovoltaics, embedded artificial intelligence, edge devices and platforms, and Internet of Things, before an in-depth chapter describes databases and datasets, an essential component in the development of AI and EAI. The final five chapters focus on applications, by outlining key problems and giving case studies that address real-world issues in PV plants. This is a valuable resource to all those with an interest in photovoltaics and AI, particularly those who are looking to effectively apply embedded AI techniques in PV systems, including researchers, advanced students, faculty, engineers, project managers, technicians, R&D, and other industry professionals.…

Paperback. Condition: new. Paperback. Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: Brand New. 300 pages. 5.98x0.83x9.02 inches. In Stock.

Taschenbuch. Condition: Neu. Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems | From Monitoring to Maintenance and Security | Adel Mellit | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Elsevier Science | EAN 9780443448355 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Paperback. Condition: New. Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems: From Monitoring to Maintenance and Security is a new handbook that explores the concepts of embedded AI (EAI), Internet of Things (IoT), and related techniques, and their role in addressing key problems in PV whilst enabling the transition from laboratory-scale developments to real-world applications. The book offers thorough, detailed coverage of methods and modern, end-to-end solutions to applying EAI techniques in PV systems, including in supervision, fault detection and diagnosis, smart monitoring systems, and predictive maintenance and security, guiding readers from AI model development to deployment. The first four chapters introduce and define key concepts, including photovoltaics, embedded artificial intelligence, edge devices and platforms, and Internet of Things, before an in-depth chapter describes databases and datasets, an essential component in the development of AI and EAI. The final five chapters focus on applications, by outlining key problems and giving case studies that address real-world issues in PV plants. This is a valuable resource to all those with an interest in photovoltaics and AI, particularly those who are looking to effectively apply embedded AI techniques in PV systems, including researchers, advanced students, faculty, engineers, project managers, technicians, RandD, and other industry professionals.…

Paperback. Condition: new. Paperback. Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

Condition: New. 2026. paperback. . . . . .