Vendeur : Big River Books, Powder Springs, GA, Etats-Unis
EUR 46,57
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 62,35
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 0367611678 ISBN 13 : 9780367611675
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 72,67
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 73,24
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 66,29
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 67,57
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 780.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 73,50
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : New.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 0367611678 ISBN 13 : 9780367611675
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 56,40
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Taylor & Francis Ltd, London, 2025
ISBN 10 : 0367611678 ISBN 13 : 9780367611675
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 73,53
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 89,57
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 422 pages. 9.18x6.12x9.21 inches. In Stock.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 133,09
Autre deviseQuantité disponible : 20 disponible(s)
Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 133,09
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Vendeur : SMASS Sellers, IRVING, TX, Etats-Unis
EUR 138,96
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
EUR 145,74
Autre deviseQuantité disponible : 20 disponible(s)
Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 157,36
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 156,17
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 410.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 163,19
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 410.
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 157,22
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierHardcover. Etat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 179,30
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 165,31
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. 410.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 203,90
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 229,80
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 222,13
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 233,77
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 256,70
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 302,70
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierHardcover. Etat : Brand New. 410 pages. 9.00x6.25x1.00 inches. In Stock.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 69,60
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 94,01
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Vendeur : moluna, Greven, Allemagne
EUR 184,46
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierGebunden. 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.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 235,58
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.