01831oam 2200469I 450 991071192240332120190822093112.0(CKB)5470000002488871(OCoLC)1089928934(OCoLC)995470000002488871(EXLCZ)99547000000248887120190315j201902 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierA hybrid framework combining model-based and data-driven methods for hierarchical decentralized robust dynamic state estimation /Marcos Netto [and four others]Golden, CO :National Renewable Energy Laboratory,February 2019.1 online resource (5 pages) color illustrationsConference paper NREL/CP ;5D00-72685"February 2019.""To be presented at the 2019 IEEE Power and Energy Society General Meeting (IEEE PES GM) Atlanta, Georgia, August 4-8, 2019."Includes bibliographical references (page 5).Compressed sensing (Telecommunication)Kalman filteringCompressed sensing (Telecommunication)fastKalman filteringfastCompressed sensing (Telecommunication)Kalman filtering.Compressed sensing (Telecommunication)Kalman filtering.Netto Marcos1401224National Renewable Energy Laboratory (U.S.),GPOGPOOCLCFGPOBOOK9910711922403321A hybrid framework combining model-based and data-driven methods for hierarchical decentralized robust dynamic state estimation3474864UNINA