LEADER 01717nam  2200397z- 450 
001 9910346769503321
005 20231214141217.0
010   $a1000056497
035   $a(CKB)4920000000100828
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47330
035   $a(EXLCZ)994920000000100828
100   $a20202102d2017      |y             0
101 0 $ager
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aFahrplanbasiertes Energiemanagement in Smart Grids
210   $cKIT Scientific Publishing$d2017
215   $a1 electronic resource (XII, 204 p. p.)
311   $a3-7315-0551-7 
330   $aThe increase in decentralized, volatile electricity generation as result of the German energy system transformation causes congestions in electricity grids. IT networking and coordination of producers and consumers in smart grids promises a solution to these problems. In this context, this work presents an energy management approach that approximates specified, aggregated power profiles. The approach uses power forecasts and flexibilities and takes network restrictions into account.
610   $aEnergiemanagement
610   $aload forecast
610   $asmart grid
610   $amultikriterielle Optimierung
610   $aenergy management architecture
610   $aLastprognoseenergy management
610   $amulti-objective optimization
610   $aEnergiemanagement-Architektur
610   $aSmart Grid
700   $aHirsch$b Christian$4auth$0622432
906   $aBOOK
912   $a9910346769503321
996   $aFahrplanbasiertes Energiemanagement in Smart Grids$93031120
997   $aUNINA