Introduction to Ai Techniques for Renewable Energy System

Tripathi, Suman Lata (Editor)/ Dubey, Mithilesh Kumar (Editor)/ Rishiwal, Vinay (Editor)/ Padmanaban, Sanjeevikumar (Editor)

ISBN 10: 0367611678 ISBN 13: 9780367611675

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422 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand. N� de r�f. du vendeur __0367611678

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Synopsis :

The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It provides incites to the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems.

� propos de l?auteur:

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.

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Titre : Introduction to Ai Techniques for Renewable ...
�diteur : CRC Pr I Llc
Date d'�dition : 2025
Reliure : Paperback
Etat : Brand New

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Introduction to AI Techniques for Renewable Energy System

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ISBN 10 : 0367611678 ISBN 13 : 9780367611675

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Etat : good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting. N� de r�f. du vendeur BRV.0367611678.G

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, Lov. N� de r�f. du vendeur 2109048096

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Introduction to Ai Techniques for Renewable Energy System

Tripathi, Suman Lata (EDT); Dubey, Mithilesh Kumar (EDT); Rishiwal, Vinay (EDT); Padmanaban, Sanjeevikumar (EDT)

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ISBN 10 : 0367611678 ISBN 13 : 9780367611675

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Introduction to AI Techniques for Renewable Energy System

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Introduction to Ai Techniques for Renewable Energy System

Tripathi, Suman Lata (EDT); Dubey, Mithilesh Kumar (EDT); Rishiwal, Vinay (EDT); Padmanaban, Sanjeevikumar (EDT)

Edit� par CRC Press, 2025

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Introduction to Ai Techniques for Renewable Energy System

Tripathi, Suman Lata (EDT); Dubey, Mithilesh Kumar (EDT); Rishiwal, Vinay (EDT); Padmanaban, Sanjeevikumar (EDT)

Edit� par CRC Press, 2025

ISBN 10 : 0367611678 ISBN 13 : 9780367611675

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Introduction to AI Techniques for Renewable Energy System (Paperback)

Suman Lata Tripathi

Edit� par Taylor & Francis Ltd, London, 2025

ISBN 10 : 0367611678 ISBN 13 : 9780367611675

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Paperback. Etat : new. Paperback. Introduction to AI techniques for Renewable Energy SystemArtificial 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 systemsThis book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems. The book summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It provides incites to the solar cell, biofuels, wind and other renewable energy system design and characterization, including the equipment for smart energy systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9780367611675

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