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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.


Volltext §
DOI: 10.5445/IR/1000042781
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Publikationstyp Hochschulschrift
Publikationsjahr 2014
Sprache Englisch
Identifikator urn:nbn:de:swb:90-427816
KITopen-ID: 1000042781
Verlag Karlsruher Institut für Technologie (KIT)
Art der Arbeit Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Telematik (TM)
Prüfungsdaten 11.07.2014
Schlagwörter Energy load forecast, Smart Energy Systems, Forecast accuracy, Energy storage
Referent/Betreuer Beigl, M.
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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