Artificial Intelligence for Solar Photovoltaic Systems - Approaches, Methodologies, and Technologies

This book provides a clear explanation of the application of artificial intelligence to solve the challenges in solar photovoltaic technology. It introduces the readers about new AI-based approaches and technologies helpful in managing and operating solar photovoltaic systems effectively.

List of contents

1. History and Application of Solar PV System. 2. Solar Power Forecasting. 3. Comprehensive Technique for Modelling of PV Module. 4. Conventional Techniques for Maximum Power Point Tracking. 5. Intelligent Techniques for Maximum Power Point Tracking. 6. Analysis of Multijunction Solar Cell-Based PV System with MPPT Schemes. 7. Emerging Techniques of Shade Dispersion. 8. Solar Tracking Technology to Harness the Green Energy. 9. Development of Solar Panels Models in Different Countries/Regions. 10. Performance Degradation in Solar Modules. 11. Performance and Reliability Investigation of Practical Microgrid Grid with Photovoltaic Units.

About the author

Bhavnesh Kumar is an Assistant Professor in the area of power electronics & drives at the Division of Instrumentation & Control Engineering, NSIT Delhi.
Bhanu Pratap is working as an Assistant Professor in the Department of Electrical Engineering, National Institute of Technology Kurukshetra, India.
Vivek Shrivastava presently is the Dean (Research & Consultancy) at the National Institute of Technology Delhi.

Summary

This book provides a clear explanation of the application of artificial intelligence to solve the challenges in solar photovoltaic technology. It introduces the readers about new AI-based approaches and technologies helpful in managing and operating solar photovoltaic systems effectively.

Product details

• Authors: Bhavnesh (Netaji Subhas University of Techn Kumar, Bhavnesh (Nsut Kumar
• Assisted by: Bhavnesh Kumar (Editor), Bhanu Pratap (Editor), Vivek Shrivastava (Editor)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 31.07.2022
• EAN: 9781032054414
• ISBN: 978-1-0-3205441-4
• No. of pages: 290
• Series: Explainable AI XAI for Engineering Applications
• Subjects: Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; Artificial Intelligence, TECHNOLOGY & ENGINEERING / Electronics / General, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Power Resources / Electrical, COMPUTERS / Machine Theory, Electrical Engineering, Artificial Intelligence (AI)