LEADER 01450oam 2200457 450 001 9910716729903321 005 20211229112441.0 035 $a(CKB)5470000002524879 035 $a(OCoLC)1265301730 035 $a(EXLCZ)995470000002524879 100 $a20210826j202100 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBattery control using stochastic model predictive control /$fMichael Blonsky 210 1$aGolden, CO :$cNational Renewable Energy Laboratory,$d[2021]. 215 $a1 online resource (13 pages) $ccolor illustrations 225 1 $aNREL/PR ;$v5D00-79754 300 $a"IEEE SmartGridComm 2020 November 11-13, 2020." 320 $aIncludes bibliographical reference (page 2). 606 $aStochastic models 606 $aPredictive control 606 $aPredictive control$2fast 606 $aStochastic models$2fast 615 0$aStochastic models. 615 0$aPredictive control. 615 7$aPredictive control. 615 7$aStochastic models. 700 $aBlonsky$b Michael$01387734 712 02$aNational Renewable Energy Laboratory (U.S.), 801 0$bGPO 801 1$bGPO 801 2$bOCLCO 801 2$bOCLCF 801 2$bGPO 906 $aBOOK 912 $a9910716729903321 996 $aBattery control using stochastic model predictive control$93538291 997 $aUNINA