LEADER 03311nam 22006015 450 001 9910731475303321 005 20230620120650.0 010 $a3-031-29100-X 024 7 $a10.1007/978-3-031-29100-5 035 $a(CKB)27113456500041 035 $a(MiAaPQ)EBC30604261 035 $a(Au-PeEL)EBL30604261 035 $a(DE-He213)978-3-031-29100-5 035 $a(PPN)27226105X 035 $a(EXLCZ)9927113456500041 100 $a20230620d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Science and Applications for Modern Power Systems /$fby Le Xie, Yang Weng, Ram Rajagopal 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (446 pages) 225 1 $aPower Electronics and Power Systems,$x2196-3193 311 $a9783031290992 327 $aBig Data Challenges in Power Systems -- Challenges and Opportunities in Utility Data -- Wholesale Markets Data Deluge -- Distribution System Data Operation -- Synchrophasor Data Analytics -- Smart Meter and its Implications -- Deep Learning in Power Markets -- Data-driven Planning in Electric Energy Systems -- Common Information Model for Unifying Data Sets -- Inference and Business for Aggregators Non-intrusive Load Monitoring -- Utility Business Model in the Era of Big Data -- Data Security Services for Utilities. 330 $aThis book offers a comprehensive collection of research articles that utilize data?in particular large data sets?in modern power systems operation and planning. As the power industry moves towards actively utilizing distributed resources with advanced technologies and incentives, it is becoming increasingly important to benefit from the available heterogeneous data sets for improved decision-making. The authors present a first-of-its-kind comprehensive review of big data opportunities and challenges in the smart grid industry. This book provides succinct and useful theory, practical algorithms, and case studies to improve power grid operations and planning utilizing big data, making it a useful graduate-level reference for students, faculty, and practitioners on the future grid. Presents a comprehensive review of data sciences for the power industry; Contains state-of-the-art research articles; Provides practical algorithms and case studies. 410 0$aPower Electronics and Power Systems,$x2196-3193 606 $aElectric power production 606 $aBig data 606 $aBusiness information services 606 $aElectrical Power Engineering 606 $aBig Data 606 $aIT in Business 615 0$aElectric power production. 615 0$aBig data. 615 0$aBusiness information services. 615 14$aElectrical Power Engineering. 615 24$aBig Data. 615 24$aIT in Business. 676 $a621.3192 700 $aXie$b Le$01368834 701 $aWeng$b Yang$01358132 701 $aRajagopal$b Ram$01368835 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910731475303321 996 $aData Science and Applications for Modern Power Systems$93394845 997 $aUNINA