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02316aam a2200313I 4500 001 DB770366370411E887D7D95B97128E48 003 SILO 005 20180403010230 008 170228s2018 ne a b 000 0 eng d 020 $a 9780128119686 020 $a 0128119683 035 $a (OCoLC)974031345 040 $a YDX $b eng $c YDX $d LTSCA $d COO $d IWA $d SILO 050 4 $a TK3105 B54x 2018 245 00 $a Big data application in power systems / $c edited by Reza Arghandeh, Yuxun Zhou. 264 1 $a Amsterdam, Netherlands ; $b Elsevier, $c 2018. 300 $a xxvi, 453 pages : $b illustrations ; $c 25 cm 504 $a Includes bibliographical references and index. 520 $a 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. 650 0 $a Electric power transmission $x Mathematical models. 650 0 $a Electric power systems. 650 0 $a Big data. 650 0 $a Smart power grids. 700 1 $a Arghandeh, Reza, $e editor. 700 1 $a Zhou, Yuxun, $e editor. 941 $a 1 952 $l USUX851 $d 20210707014055.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=DB770366370411E887D7D95B97128E48 994 $a 92 $b IWAInitiate Another SILO Locator Search