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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsDa: Ria Christie Collections, Uxbridge, Regno Unito
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 78,51
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsDa: GreatBookPrices, Columbia, MD, U.S.A.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsDa: GreatBookPricesUK, Woodford Green, Regno Unito
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RENEWABLE ENERGY FOR BUILDINGS TECHNOLOGY CONTROL AND OPERATIONAL TECHNIQUES (HB 2022)
Da: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Libro 151 di 153: Power SystemsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Libro 151 di 153: Power SystemsDa: Majestic Books, Hounslow, Regno Unito
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Libro 151 di 153: Power SystemsDa: Biblios, Frankfurt am main, HESSE, Germania
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Hardcover)
Libro 151 di 153: Power SystemsLingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: new. Hardcover. This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses. This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Renewable Energy for Buildings (Hardcover)
Lingua: Inglese
Editore: Springer International Publishing AG, Cham, 2022
ISBN 10: 3031087313 ISBN 13: 9783031087318
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Prima edizione
Hardcover. Condizione: new. Hardcover. The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost. Renewable Energy for Buildings is suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems.Examines the most recent developments in building energy systems;Looks at practical applications and theoretical aspects; Includes case studies. The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Renewable Energy for Buildings: Technology, Control, and Operational Techniques (Green Energy and Technology)
Da: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
Da: Rarewaves.com UK, London, Regno Unito
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EUR 96,13
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Renewable Energy for Buildings: Technology, Control, and Operational Techniques (Green Energy and Technology)
Da: Majestic Books, Hounslow, Regno Unito
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EUR 174,90
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EUR 122,10
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Renewable Energy for Buildings | Technology, Control, and Operational Techniques | Milad Sadat-Mohammadi (u. a.) | Taschenbuch | Green Energy and Technology | ix | Englisch | 2023 | Springer | EAN 9783031087349 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Renewable Energy for Buildings: Technology, Control, and Operational Techniques
Da: Revaluation Books, Exeter, Regno Unito
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EUR 193,90
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Aggiungi al carrelloHardcover. Condizione: Brand New. 133 pages. 9.25x6.10x0.55 inches. In Stock.
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Renewable Energy for Buildings : Technology, Control, and Operational Techniques
Lingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3031087313 ISBN 13: 9783031087318
EUR 139,09
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost.Renewable Energy for Buildingsis suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems. Examines the most recent developments in building energy systems;Looks at practical applications and theoretical aspects;Includes case studies.
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Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Libro 151 di 153: Power SystemsDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
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EUR 145,40
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book covers practical applications and experimental results of integrating renewable energy technologies, energy storage facilities, and intelligent control and operation techniques into building energy systems. It introduces practical approaches to improving the energy systems of buildings in order to reduce energy consumption and cost.Renewable Energy for Buildingsis suitable for retrofit engineers, energy engineers, and professionals, as well as researchers and developers in electrical engineering, architectural engineering, and mechanical engineering. Moreover, it can be used by undergraduate and graduate students to become familiar with the most recent developments in building energy systems. Examines the most recent developments in building energy systems;Looks at practical applications and theoretical aspects;Includes case studies.
-
Application of Machine Learning and Deep Learning Methods to Power System Problems (Power Systems)
Libro 151 di 153: Power SystemsDa: Mispah books, Redhill, SURRE, Regno Unito
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Automation and Robotics in the Architecture, Engineering, and Construction Industry
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Application Of Machine Learning And Deep
Libro 151 di 153: Power SystemsDa: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Edizione InternazionaleRENEWABLE ENERGY FOR BUILDINGS TECHNOLOGY CONTROL AND OPERATIONAL TECHNIQUES (HB 2022)
Da: UK BOOKS STORE, London, LONDO, Regno Unito
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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 6-10 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.
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Application Of Machine Learning And Deep
Libro 151 di 153: Power SystemsDa: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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EUR 197,28
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Application of Machine Learning and Deep Learning Methods to Power System Problems
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Application of Machine Learning and Deep Learning Methods to Power System Problems | Morteza Nazari-Heris (u. a.) | Taschenbuch | Power Systems | ix | Englisch | 2022 | Springer | EAN 9783030776985 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Automation and Robotics in the Architecture, Engineering, and Construction Industry
Da: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 200,05
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Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsLingua: Inglese
Editore: Springer International Publishing, 2022
ISBN 10: 3030776980 ISBN 13: 9783030776985
EUR 160,49
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Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.
-
Application of Machine Learning and Deep Learning Methods to Power System Problems
Libro 151 di 153: Power SystemsLingua: Inglese
Editore: Springer International Publishing, 2021
ISBN 10: 3030776956 ISBN 13: 9783030776954
EUR 160,49
Spedizione EUR 63,85
Spedito da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.
