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Edité par ISTE Ltd and John Wiley & Sons Inc, London, 2016
ISBN 10 : 1848214227 ISBN 13 : 9781848214224
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. The energy consumption of a building has, in recent years, become a determining factor during its design and construction. With carbon footprints being a growing issue, it is important that buildings be optimized for energy conservation and CO2 reduction. This book therefore presents AI models and optimization techniques related to this application. The authors start with a review of recent models for the prediction of building energy consumption: engineering methods, statistical methods, artificial intelligence methods, ANNs and SVMs in particular. The book then focuses on SVMs, by first applying them to building energy consumption, then presenting the principles and various extensions, and SVR. The authors then move on to RDP, which they use to determine building energy faults through simulation experiments before presenting SVR model reduction methods and the benefits of parallel computing. The book then closes by presenting some of the current research and advancements in the field. Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Edité par Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10 : 0443289530 ISBN 13 : 9780443289538
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. Machine Learning and Data Analysis for Energy Efficiency in Buildings: Intelligent Operation, Maintenance, and Optimization of Building Energy Systems introduces data basics, from selecting and evaluating data to the identification and repair of abnormalities. Other sections cover data mining applied to energy forecasting, including long- and short-term predictions, the introduction of occupant-focused behavior analysis, and current methods for supply and demand applications. Case studies are included in each part to assist in evaluation and implementation of these techniques across building energy systems.Working from the fundamentals of big data analysis to a complete method for building energy assessment, flexibility, and management, this book provides students, researchers, and professionals with an essential, cutting-edge resource on this important technology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Iste/Hermes Science Pub, 2016
ISBN 10 : 1848214227 ISBN 13 : 9781848214224
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 164 pages. 9.50x6.50x0.50 inches. In Stock.
Edité par ISTE Ltd and John Wiley & Sons Inc, London, 2016
ISBN 10 : 1848214227 ISBN 13 : 9781848214224
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Edition originale
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Ajouter au panierHardcover. Etat : new. Hardcover. The energy consumption of a building has, in recent years, become a determining factor during its design and construction. With carbon footprints being a growing issue, it is important that buildings be optimized for energy conservation and CO2 reduction. This book therefore presents AI models and optimization techniques related to this application. The authors start with a review of recent models for the prediction of building energy consumption: engineering methods, statistical methods, artificial intelligence methods, ANNs and SVMs in particular. The book then focuses on SVMs, by first applying them to building energy consumption, then presenting the principles and various extensions, and SVR. The authors then move on to RDP, which they use to determine building energy faults through simulation experiments before presenting SVR model reduction methods and the benefits of parallel computing. The book then closes by presenting some of the current research and advancements in the field. Focusing on up-to-date artificial intelligence models to solve building energy problems, Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues, including detailed and simplified engineering methods, statistical methods, and artificial intelligence methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
ISBN 10 : 7111602676 ISBN 13 : 9787111602675
Vendeur : liu xing, Nanjing, JS, Chine
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Ajouter au panierpaperback. Etat : New. Language:Chinese.Paperback. Pub Date: 2018-07-01 Publisher: Mechanical Industry Press's energy performance is influenced by many factors. This book focuses on the complex characteristics of buildings. focusing on new data mining and machine learning methods to energy consumption in buildings. Conduct accurate predictions. analysis. or fault detection diagnostics. This book covers modeling of building energy analysis and techniques for model reduction and parallel computing.
Edité par Elsevier - Health Sciences Division, 2025
ISBN 10 : 0443289530 ISBN 13 : 9780443289538
Langue: anglais
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Edité par Iste/Hermes Science Pub, 2016
ISBN 10 : 1848214227 ISBN 13 : 9781848214224
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 164 pages. 9.50x6.50x0.50 inches. In Stock. This item is printed on demand.