00826nam0-22003131i-450-99000029108040332120060904142113.00-306-20006-6000029108FED01000029108(Aleph)000029108FED0100002910820020821d1974----km-y0itay50------baitay-------001yyTransport AnalysisDaniel HersheyNew YorkPlenum/Rosetta Edition1974X, 353 p.24 cm531Hershey,Daniel12851ITUNINARICAUNIMARCBK99000029108040332104 163-17CNR 398/LDINCH00 I-10142141DETECDINCHDETECTransport Analysis127768UNINA01734nam 2200409z- 450 9910346769503321202102111000056497(CKB)4920000000100828(oapen)https://directory.doabooks.org/handle/20.500.12854/47330(oapen)doab47330(EXLCZ)99492000000010082820202102d2017 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierFahrplanbasiertes Energiemanagement in Smart GridsKIT Scientific Publishing20171 online resource (XII, 204 p. p.)3-7315-0551-7 The 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.EnergiemanagementEnergiemanagement-Architekturenergy management architectureLastprognoseenergy managementload forecastmulti-objective optimizationmultikriterielle Optimierungsmart gridSmart GridHirsch Christianauth622432BOOK9910346769503321Fahrplanbasiertes Energiemanagement in Smart Grids3031120UNINA