EUR 64,03
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 59,39
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 60,99
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 70,66
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 74,75
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 70,58
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 780.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 74,53
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 69,58
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 69,82
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloCondizione: New.
EUR 75,26
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 91,88
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 422 pages. 9.18x6.12x9.21 inches. In Stock.
Editore: LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6135800760 ISBN 13: 9786135800760
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 89,90
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -In the last few years, python has been popular and becomes the first choice of the students, teachers as well as the company officials. It is used in different fields like education, software development, website development and also in research. In education it offers students to learn the programming language in easier and efficient manner. In IT field it can be used as a superb language for making software as well as websites. It can also be integrated with different platforms like Django. In research, Python programming can be used in simulation or it can be used in the field of machine learning. It offers several benefits.Books on Demand GmbH, Überseering 33, 22297 Hamburg 448 pp. Englisch.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367611678 ISBN 13: 9780367611675
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 75,72
Convertire valutaQuantità: 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.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367611678 ISBN 13: 9780367611675
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 94,37
Convertire valutaQuantità: 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: Basi6 International, Irving, TX, U.S.A.
EUR 134,71
Convertire valutaQuantità: 19 disponibili
Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Editore: Taylor & Francis Ltd, London, 2025
ISBN 10: 0367611678 ISBN 13: 9780367611675
Lingua: Inglese
Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 74,63
Convertire valutaQuantità: 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 multiple locations in the US or from the UK, depending on stock availability.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 145,97
Convertire valutaQuantità: 5 disponibili
Aggiungi al carrelloCondizione: 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.
EUR 163,11
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. 410.
EUR 165,80
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. 410.
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6135800760 ISBN 13: 9786135800760
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 163,58
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 448 pages. 8.66x5.91x1.01 inches. In Stock.
EUR 164,32
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 169,65
Convertire valutaQuantità: 4 disponibili
Aggiungi al carrelloCondizione: New. 410.
Da: Chiron Media, Wallingford, Regno Unito
EUR 161,91
Convertire valutaQuantità: 5 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 174,85
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 183,73
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 209,14
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 235,98
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 240,74
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
EUR 209,39
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 310,50
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 410 pages. 9.00x6.25x1.00 inches. In Stock.