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100   $a20200722d2019      ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDynamic power network state estimation with asynchronous measurements $epreprint /$fGuido Cavraro, Emiliano Dall'Anese, and Andrey Bernstein
210  1$aGolden, CO :$cNational Renewable Energy Laboratory,$d2019.
215   $a1 online resource (5 pages) : b color illustrations
225 1 $aNREL/CP ;$v5D00-75064
300   $a"November 2019."
300   $aPresented at the 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 11-14 November 2019, Ottawa, Canada.
320   $aIncludes bibliographical references.
517   $aDynamic power network state estimation with asynchronous measurements 
606   $aElectric power systems$xState estimation
606   $aDistributed generation of electric power
615  0$aElectric power systems$xState estimation.
615  0$aDistributed generation of electric power.
700   $aCavraro$b Guido$01391552
702   $aDall'Anese$b Emiliano
702   $aBernstein$b Andrey
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910713789803321
996   $aDynamic power network state estimation with asynchronous measurements$93520497
997   $aUNINA