Da: Big River Books, Powder Springs, GA, U.S.A.
Condizione: 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.
EUR 62,67
Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 65,30
Quantità: Più di 20 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 72,91
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Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367611678 ISBN 13: 9780367611675
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 56,36
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 66,56
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 780.
Da: Revaluation Books, Exeter, Regno Unito
EUR 90,13
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 422 pages. 9.18x6.12x9.21 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367611678 ISBN 13: 9780367611675
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 72,43
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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.
Da: Basi6 International, Irving, TX, U.S.A.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
Da: SMASS Sellers, IRVING, TX, U.S.A.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
EUR 146,84
Quantità: 8 disponibili
Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Condizione: New.
Condizione: New. 410.
EUR 165,68
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. 410.
Da: Chiron Media, Wallingford, Regno Unito
EUR 154,87
Quantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 166,54
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. 410.
Condizione: As New. Unread book in perfect condition.
EUR 204,94
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 220,50
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 230,27
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 253,06
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: TAYLOR & FRANCIS EXCLUSIVE(CBS), 2021
ISBN 10: 0367610922 ISBN 13: 9780367610920
Lingua: Inglese
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 279,70
Quantità: 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 304,60
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 410 pages. 9.00x6.25x1.00 inches. In Stock.
Editore: Taylor & Francis, 2021
Da: Books in my Basket, New Delhi, India
EUR 164,32
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. ISBN:9780367610920.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367611678 ISBN 13: 9780367611675
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 68,56
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.