Introduction to AI Techniques for Renewable Energy System - Softcover

Softcover

ISBN 10: 0367611678 ISBN 13: 9780367611675

Verlag: CRC Press, 2025

Inhaltsangabe

Introduction to AI techniques for Renewable Energy System

Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems.

Features

Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques

Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches

Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance

Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems

This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

Über diesen Titel

Über die Autorin bzw. den Autor

Suman Lata Tripathi is working as a Professor at School of Electronics and Electrical Engineering, Lovely Professional University, India.

Mithilesh Kumar Dubey is working as an Associate Professor at School of Computer Science and Engineering, Lovely Professional University, India.

Vinay Rishiwal is working as a Professor at Department of Computer Science and Information Technology, Faculty of Engineering and Technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India.

Sanjeevikumar Padmanaban is working as a faculty member, at Department of Energy Technology, Aalborg University, Esbjerg, Denmark.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 10: 0367611678
• ISBN 13: 9780367611675
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 422
• Herausgeber: Tripathi Suman Lata, Dubey Mithilesh Kumar, Rishiwal Vinay, Padmanaban Sanjeevikumar
• Kontakt zum Hersteller: CRC Press; https://www.routledge-ny.com; ; 6000 BROKEN SOUND PARKWAY, NW SUITE 300; BOCA RATON; FL; 33487; USA
• Verantwortliche Person: GPSR Kontakt; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Deutschland