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180821s2016 pau o 000 0 eng d |
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|a 9781482218299
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|a 1482218291
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|z 9781482218282
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|a 621.31028557
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|a UAMI
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|a Stimmel, Carol L.
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|a Big Data Analytics Strategies for the Smart Grid.
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|a 1st ed.
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|a Philadelphia, PA
|b Auerbach Publications,
|c 2016.
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|c ©2014.
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|a 1 online resource (252 pages)
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|a text
|b txt
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|a Front Cover -- Dedication -- Contents -- Foreword -- Preface -- About the Author -- Acknowledgments -- Section One The Transformative Power of Data Analytics -- Chapter One Putting the Smarts in the Smart Grid -- Chapter Two Building the Foundation for Data Analytics -- Chapter Three Transforming Big Data for High- Value Action -- Section Two The Benefi ts of Smart Grid Data Analytics -- Chapter Four Applying Analytical Models in the Utility -- Chapter Five Enterprise Analytics -- Chapter Six Operational Analytics -- Chapter Seven Customer Operations and Engagement Analytics -- Chapter Eight Analytics for Cybersecurity -- Section Three Implementing Data Analytics Programs for Sustained Change -- Chapter Nine Sourcing Data -- Chapter Ten Big Data Integration, Frameworks, and Databases -- Chapter Eleven Extracting Value -- Chapter Twelve Envisioning the Utility -- Chapter Thirteen A Partnership for Change -- Glossary -- Back Cover.
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|a By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments. Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of: SAS for asset management tools The AutoGrid approach to commercial analytics Space-Time Insight's work at the California ISO (CAISO) This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs. At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to.
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|a Better understand the nuances of the engineering and business challenges unique to the utilities industry.
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588 |
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|a Description based on publisher supplied metadata and other sources.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Big data.
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650 |
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|a Electric power distribution.
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650 |
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|a Smart power grids.
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650 |
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|a Données volumineuses.
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650 |
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|a Réseaux électriques intelligents.
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650 |
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7 |
|a Big data
|2 fast
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650 |
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|a Electric power distribution
|2 fast
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650 |
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|a Smart power grids
|2 fast
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776 |
0 |
8 |
|i Print version
|a Stimmel, Carol L.
|t Big Data Analytics Strategies for the Smart Grid
|d Philadelphia, PA : Auerbach Publications,c2016
|z 9781482218282
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856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781482218282/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
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