Ai-based Forecasting of Solar Photovoltaics Power Generation (Energy Engineering) - Hardcover

Hardcover

ISBN 10: 1837240191 ISBN 13: 9781837240197

Verlag: Institution of Engineering and Technology, 2026

Inhaltsangabe

Photovoltaic energy generators large and small exhibit intermittency, making it hard to predict production to ensure grid power quality. Artificial intelligence (AI) and machine learning (ML) offer means to improve PV forecasting based on data from existing systems, weather forecast data, and other information. The ability to forecast PV generation is crucial for grid management, energy trading, and efficient energy utilization.

AI-Based Forecasting of Solar Photovoltaics Power Generation blends theoretical knowledge with practical case studies, and covers both traditional and advanced deep learning techniques, and the intricacies of AI algorithms. Chapters cover data collection and processing, solar forecasting based on statistical time-series, machine and deep learning, hybrid and probabilistic approaches, model optimisation and hyperparameter performance evaluation, use of sky imager, and forecasting for energy system integration.

This book is for researchers and advanced students involved with PV systems in industry and academia, as well as for data scientists involved with energy systems. It also serves advanced students in EE and photovoltaics and policymakers. It provides readers with a comprehensive understanding of how AI can be leveraged to forecast solar PV energy outputs more accurately.

Über diesen Titel

Über die Autorinnen und Autoren

Elham Shirazi is an assistant professor at the University of Twente, the Netherlands. Her multidisciplinary research focuses on applying AI/ML methods to forecasting, integration, and control of energy systems. She joined the University of Twente in 2021, following postdoctoral research at KU Leuven's and prior work at IMEC's Energy Department in Belgium. She is a member of IEA PVPS and ETIP PV and serves on technical committees for EUPVSEC, IEEE ISGT, and ACM e-Energy.

Wilfried van Sark is a professor in photovoltaics integration at the Copernicus Institute of Sustainable Development, Utrecht University, The Netherlands. He has over 40 years' experience in PV solar energy R&D. His research includes next-generation PV, performance analysis of photovoltaic modules and systems, smart grids with EV and vehicle-to-grid technology, and solar forecasting. He is an associate editor or board member for several related journals and a senior member of IEEE.

Details zur Ausgabe

• Verlag: Institution of Engineering and Technology
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 1837240191
• ISBN 13: 9781837240197
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 312
• Herausgeber: Shirazi Elham, Van Sark Wilfried
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Libri GmbH; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; Hessen; Deutschland