Langue: anglais
ISBN 10 : 8893918595 ISBN 13 : 9788893918596
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Langue: anglais
Edité par Galileo Press GmbH Auflage: 1 (28. Januar 2004), 2004
ISBN 10 : 1592290256 ISBN 13 : 9781592290253
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Ajouter au panierHardcover. Etat : gut. Auflage: 1 (28. Januar 2004). mySAP ISO 9000 Good IT Practices GITP SLAs SOE bstreamline 24/7 operations change management quality assurance support organization Expert training Galileo Press With system landscapes becoming increasingly more complex, administering them efficiently is proving equally difficult. This unique new book provides you with concepts and practical solutions that will enable you to optimize your SAP operations. Get in-depth information to set up a viable Standard Operation Environment (SOE) for SAP systems, as well as time-saving tips for certification and validation of your system landscape. Plus, benefit from and customize the numerous examples and case studies extracted from the worldwide operations of many large SAP customers. Take advantage of proven solutions, exclusive tips, and practical examples that enable you to better organize your SAP operations. Learn to streamline 24/7 operations, exploit Service Level Agreements (SLAs), conquer change management challenges, and tackle disaster recovery and security concerns with confidence. You'll also discover expert training recommendations for the management of IT processes. Plus, read about real-world, cross-industry customer insights on the pros and cons of outsourced solutions for your system operation tasks. Although SAP System Operations primarily focuses on SAP systems, you can apply many of the principles found in this indispensable reference book to other ERP and mission-critical software solutions. Highlights Include- Practical guidance on validation and certification regulationsISO 9000, Good IT Practices (GITP) - Exclusive insights on exploiting SLAs - How to set up a viable SOE - Step-by-step instruction to streamline 24/7 operations - Best practices for change management and quality assurance - Understanding the pros and cons of outsourced solutions - Optimizing the structure of your support organization - Expert training recommendations 1-59229-025-6 / 1592290256 ISBN-13 978-1-59229-025-3 / 9781592290253 SAP System Operations SAP PRESS Michael Mißbach Ralf Sosnitzka Mathias Wilhelm Josef Stelzel In englischer Sprache. 350 pages. 24,4 x 17,5 x 2,3 cm.
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Ajouter au panierPaperback. Etat : Brand New. reprint edition. 808 pages. 10.00x7.01x1.81 inches. In Stock.
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Ajouter au panierPaperback. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierEtat : New. pp. 116 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Ajouter au panierHardcover. Etat : Brand New. 113 pages. 9.26x6.10x0.31 inches. In Stock.
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control.Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers.Provides a history of AI in power grid operation and planning;Introduces deep learning algorithms and applications in power systems;Includes several representative case studies.
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Ajouter au panierTaschenbuch. Etat : Neu. Deep Learning for Power System Applications | Case Studies Linking Artificial Intelligence and Power Systems | Fangxing Li (u. a.) | Taschenbuch | Power Electronics and Power Systems | xii | Englisch | 2024 | Springer | EAN 9783031453595 | 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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Ajouter au panierEtat : Brand 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 7-12 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.
Langue: anglais
Edité par Springer International Publishing, 2023
ISBN 10 : 3031453565 ISBN 13 : 9783031453564
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides readers with an in-depth review of deep learning-based techniques and discusses how they can benefit power system applications. Representative case studies of deep learning techniques in power systems are investigated and discussed, including convolutional neural networks (CNN) for power system security screening and cascading failure assessment, deep neural networks (DNN) for demand response management, and deep reinforcement learning (deep RL) for heating, ventilation, and air conditioning (HVAC) control.Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems is an ideal resource for professors, students, and industrial and government researchers in power systems, as well as practicing engineers and AI researchers.Provides a history of AI in power grid operation and planning;Introduces deep learning algorithms and applications in power systems;Includes several representative case studies.
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Ajouter au panierPaperback. Etat : Brand New. 300 pages. 9.00x6.00x9.02 inches. In Stock.