Embedded Artificial Intelligence and the Internet of Things for Photovoltaic Systems

From Monitoring to Maintenance and Security

Häftad, Engelska, 2026

1 837 kr

Kommande

Beskrivning

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.

Explains how to apply embedded AI techniques and their advantages in solving challenging real-world problems in photovoltaic systems
Bridges the gap between laboratory-scale research and industrial applications by designing end-to-end prototypes to address key problems in PV systems
Provides guidance on implementing and deploying TinyML on edge devices, such as MCUs, CPUs, and GPUs, with various case studies in this field

Produktinformation

Utgivningsdatum:2026-09-01
Mått:152 x 229 x undefined mm
Vikt:450 g
Format:Häftad
Språk:Engelska
Antal sidor:300
Förlag:Elsevier Science
ISBN:9780443448355

Utforska kategorier

Energiteknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Mer om författaren

Adel Mellit is a Professor at the Faculty of Sciences and Technology, University of Jijel, Algeria, and a Senior Associate Member at the International Centre of Theoretical Physics (ICTP), Trieste, Italy. He was previously the Director of the Renewable Energy Laboratory at University of Jijel. Prof. Mellit’s research focuses on the application of AI techniques, including deep learning and TinyML, in solar photovoltaic systems. He has authored or co-authored over 200 papers in international peer reviewed journals and numerous papers in conference proceedings, and has acted as editor of various conference proceedings. He is an Editor of the IEEE Journal of Photovoltaics, Subject Editor of the Energy journal (Elsevier) and an editorial board member of the Renewable Energy journal (Elsevier). He co-authored the Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting, and Fault Diagnosis, published by Elsevier under the Academic Press imprint in 2022.

Innehållsförteckning

1. Photovoltaics 2. Fundamentals of Embedded Artificial Intelligence 3. Edge Devices and Platforms 4. Internet of Things and Artificial Intelligence of Things 5. Databases and Photovoltaic Plants 6. Smart-Monitoring Systems for Photovoltaic Plants 7. Advances in Anomaly Detection for Photovoltaic Plants 8. Advances in Fault Diagnosis for Photovoltaic Plants 9. Modern Maintenance Strategies for Photovoltaic Plants 10. Security of Photovoltaic Plants