Title Statements
- Full title :Big Data Application in Power Systems.
Summary
Annotation
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- Publication Date:2017.
Publication Statements
- Publisher(s):Elsevier Science
- Place of Publication:Saint Louis, UNITED STATES
- Language:eng
- Publication Date:2017.
The Physical Object
- Description:1 online resource (482)
Edition Identifiers
- ISBN:0128119691, 9780128119693, 0128119683, 9780128119686
- oclc:on1016970955
- LC Classification:TK1001
- Dewey Decimal:621.3
Table of Contents
Front Cover -- Big Data Application in Power Systems -- Copyright -- Contents -- Contributors -- About the Editors -- Preface: Objective and Overview of the Book -- Section One: Harness the Big Data From Power Systems -- Section Two: Harness the Power of Big Data -- Section Three: Put the Power of Big Data Into Power Systems -- Acknowledgments -- Section 1: Harness the Big Data From Power Systems -- Chapter 1: A Holistic Approach to Becoming a Data-Driven Utility -- 1. Introduction -- 2. Aligning Internal and External Stakeholders -- 3. Taking a Holistic Approach -- 4. ``Strong´´ First, Then ``Smart´´ -- 5. Increasing Visibility With IEDs -- 6. Network Response Requirements -- 7. Integration Before Automation -- 8. Functional Data Paths: Keep it Simple -- 9. From Sensor to End User: The Process -- 10. Consumers/Customers: Another Source of Data -- 11. Extracting Value From Data, and Presenting It -- 12. The Transformation -- 13. Three Case Studies -- 13.1. Frankfort, Kentucky, and Greenfield SCADA, SA -- 13.2. Ketchikan, Alaska, Deals With Unsupported, Legacy RTUs -- 13.3. North Carolina Agency Pursues New SCADA, Boosts Revenue -- 14. Conclusion -- 14.1. Looking Ahead -- Reference…
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