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URN: urn:nbn:de:swb:90-427816

Self-Forecasting Energy Load Stakeholders for Smart Grids

Ilic, Dejan

Abstract:
The unpredictability of energy loads is responsible for a significant portion of efficiency loss in power grids. In order to reduce load uncertainties, emerging Smart Grid business models call for the active participation of traditionally passive stakeholders. The contribution of this work enables self-forecasting energy load stakeholders whose deterministic load behaviour make them reliable resources that can greatly benefit themselves and other Smart Grid stakeholders.


Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Hochschulschrift
Jahr 2014
Sprache Englisch
Identifikator KITopen-ID: 1000042781
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Telematik (TM)
Prüfungsdaten 11.07.2014
Referent/Betreuer Prof. M. Beigl
Schlagworte Energy load forecast, Smart Energy Systems, Forecast accuracy, Energy storage
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