| 000 | 08819cam a2200481 i 4500 | ||
|---|---|---|---|
| 001 | 18174521 | ||
| 003 | OSt | ||
| 005 | 20190812162955.0 | ||
| 007 | ta | ||
| 008 | 180926b2015 flu||||| |||| 00| 0 eng d | ||
| 010 | _a 2014019445 | ||
| 020 | _a9781482218282 (hardback) | ||
| 040 |
_aDLC _beng _cLearning Resource Center _dHoly Name University. _erda |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aTK3105 _b.S75 2015 |
| 082 | 0 | 0 |
_223 _a621.31028557/St54 |
| 084 | _aCOECS/E | ||
| 084 |
_aCOM021030 _aTEC031020 _aCOM021000 _2bisacsh |
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| 089 | 0 | 0 |
_aCOECS/E 621.31028557/St54 _223 |
| 100 | 1 |
_aStimmel, Carol L. _915228 |
|
| 245 | 1 | 0 |
_aBig data analytics strategies for the smart grid / _cCarol L. Stimmel. |
| 264 |
_aBoca Raton, Florida, USA : _bCRC Press, _c©2015. |
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| 300 |
_axxv, 229 pages : _billustrations ; _c24 cm. |
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| 336 |
_atext. _btext. |
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| 440 |
_aAn Auerbach book _915229 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | _aTHE TRANSFORMATIVE POWER OF DATA ANALYTICS Putting the Smarts in the Smart Grid Chapter Goal The Imperative for the Data-Driven Utility Big Data: We'll Know It When We See It What Are Data Analytics? The Data Analytics Infrastructure Starting from Scratch Mind the Gap Culture Shift A Personal Case Study Ouija Board Economics Business as Usual Is Fatal to the Utility To Be or Not to Be Finding Opportunity with Smart Grid Data Analytics Building the Foundation for Data Analytics Chapter Goal Perseverance Is the Most Important Tool "It's Too Hard" Is Not an Answer Building the Analytical Architecture The Art of Data Management Managing Big Data Is a Big Problem The Truth Won't Set You Free One Size Doesn't Fit All Solving the "Situation-Specific" Dilemma The Build-Versus-Buy War Rages On When the Cloud Makes Sense Change Is Danger and Opportunity Transforming Big Data for High-Value Action Chapter Goal The Utility as a Data Company Creating Results with the Pareto Principle Algorithms The Business of Algorithms Data Classes Just in Time Seeing Intelligence Remember the Human Being The Problem with Customers The Transformation of the Utility Bigger Is Not Always Better Assessing the Business Issues Start with a Framework THE BENEFITS OF SMART GRID DATA ANALYTICS Applying Analytical Models in the Utility Chapter Goa lUnderstanding Analytical Models What Exactly Are Models? Warning: Correlation Still Does Not Imply Causation Using Descriptive Models for Analytics Using Diagnostic Models for Analytics How Diagnostic Tools Help Utilities Predictive Analytics Prescriptive Analytics An Optimization Model for the Utility Toward Situational Intelligence Enterprise Analytics Chapter Goal Moving Beyond Business Intelligence Energy Forecasting Asset Management Demand Response and Energy Analytics Dynamic-Pricing Analytics Revenue-Protection Analytics Breaking Down Functional Barriers Operational Analytics Chapter Goal Aligning the Forces for Improved Decision-Making The Opportunity for Insight Adaptive Models Focus on Effectiveness Visualizing the Grid Distributed Generation Operations: Managing the Mix-Up Grid Management The Relationship Between Standards and Analytics Resiliency Analytics Extracting Value from Operational Data Analytics Customer Operations and Engagement Analytics Chapter Goal Increasing Customer Value Customer Service Advanced Customer Segmentation Sentiment Analysis Revenue Collections Call Center Operations Utility Communications What's in It for the Customer? Enhanced Billing and Customer-Facing Web Portals Home Energy Management Strategic Value Analytics for Cybersecurity Chapter Goal Cybersecurity in the Utility Industry The Threat Against Critical Infrastructure How the Smart Grid Increases Risk The Smart Grid as Opportunity for Dark Mischief The Role of Big Data Cybersecurity Analytics Predict and Protect Cybersecurity Applications Proactive Approaches Global Action for Coordinated Cybersecurity The Changing Landscape of Risk IMPLEMENTING DATA ANALYTICS PROGRAMS FOR SUSTAINED CHANGE Sourcing Data Chapter Goal Sourcing the Data Smart Meters Sensors Control Devices Intelligent Electronic Devices Distributed Energy Resources Consumer Devices Historical Data Third-Party Data Working with a Variety of Data Sources Data Fusion Big Data Integration, Frameworks, and Databases Chapter Goal This Is Going to Cost Storage Modalities Hyperscale Network-Attached Storage Object Storage Data Integration The Costs of Low-Risk Approaches Let the Data Flow Hadoop Map Reduce Hadoop Distributed File System How Does This Help Utilities? Other Big Data Databases NoSQL In-Memory or Main Memory Databases Object-Oriented Database Management Systems Time Series Database Servers Spatial and GIS Databases The Curse of Abundance Extracting Value Chapter Goal We Need Some Answers Here How Long Does This Take? Mining Data for Information and Knowledge The Process of Data Extraction When More Isn't Always Better Running for Performance Hadoop: A Single-Purpose Batch-Data Platform?Stream Processing Complex Event Processing Process Historians Avoid Irrational Exuberance Envisioning the Utility Chapter GoalBig Data Comprehension Why Humans Need Visualization Walking Toward the Edge The Role of Human Perception Preattentive Processing The Utility Visualized Advancing Business Intelligence High-Impact Operations Improving Customer Value Making Sense of It All A Partnership for Change Chapter Goal With Big Data Comes Big Responsibility Abandon All Hope, Ye Who Enter Here?Privacy, Not Promises Consent Data Management Governance Privacy Enhancement Enabling Consent Data Minimization The Role of Metadata The Utility of the Future Is a Good Partner Glossary | ||
| 520 | _a"A successful data analytics program is the only way utilities will be able to meet the challenges of a modernized grid that is responsive from an operational perspective and meets the demands of greenhouse gas legislation. This book 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 explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and transformation to a usable state that benefits the utility business and electricity consumers"-- | ||
| 520 | _a"This is a practical book, to be sure, but it is also a book about hope and positive change. I am quite sincere. The delivery of electricity is deeply rooted in the principle of universal access; when clean, reliable energy is available it contributes to poverty alleviation, improved social conditions, and enhanced economic development. In the developed world, we know this to be true. The digital fabric of our lives is a testimony to the importance of energy security. Across the globe, we have seen the vital contributions that electrification has brought to the development of economies and an enhanced quality of life. Nonetheless, this supreme engineering achievement has languished, and we are deeply challenged. Modern electrification systems are degrading and inefficient in myriad ways, yet the complex and difficult operating conditions of the energy business have been slow to adapt and advance to improve these circumstances. However, with the advent of the information-enabled, two-way grid, we have an opportunity to meet these challenges directly. It is the thesis of this book that through the application of big data analytics and subsequent improvements in situational awareness of the millions of miles of grid across the world, we will be able to integrate renewable energy systems, introduce economic and operating efficiencies, and bring energy services to the over 1 billion people across the world who have no electricity. It is also the view of this work that utilities are confronted with a very difficult charge indeed--to evolve rapidly towards a business standpoint that capitalizes on these key technologies"-- | ||
| 521 | _a | ||
| 546 | _aIn English. | ||
| 650 | 0 |
_aSmart power grids. _915230 |
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| 650 | 0 |
_aBig data. _914867 |
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| 650 | 0 |
_aElectric power distribution. _915231 |
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| 650 | 7 |
_aCOMPUTERS / Database Management / Data Mining. _2bisacsh _94386 |
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| 650 | 7 |
_aTECHNOLOGY & ENGINEERING / Power Resources / Electrical. _2bisacsh _915232 |
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| 650 | 7 |
_aCOMPUTERS / Database Management / General. _2bisacsh _915233 |
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| 856 | 4 | 2 |
_3Cover image _uhttp://images.tandf.co.uk/common/jackets/websmall/978148221/9781482218282.jpg |
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