Big data application in power systems /
Published by : Elsevier , (Amsterdam, Netherlands ; | Kidlington, Oxford :) Physical details: xxvi, 453 pages : illustrations ; 25 cm ISBN:0128119683; 9780128119686.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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| Livre | La bibliothèque des sciences de l'ingénieur | 621.31 ARG (Browse shelf) | Available | 0000000036195 |
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| 621.310 42 CHA Electric machinery and power system fundamentals | 621.310 42 ONG Dynamic simulation of electric machinery | 621.310 42 SKU Non-linear electromechanics | 621.31 ARG Big data application in power systems / | 621.31 BIL Reliability evaluation of power systems / | 621.31 BLU Pulsed power systems : | 621.31 HAR Large wind turbines : |
Includes bibliographical references and index.
Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids.Provides expert analysis of the latest developments by global authoritiesContains detailed references for further reading and extended researchProvides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformaticsFocuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data.


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