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Time series analysis and prediction of electricity load demand with machine learning techniques

URN to cite this document:
urn:nbn:de:bvb:355-epub-515046
DOI to cite this document:
10.5283/epub.51504
Steinborn, Florian
Date of publication of this fulltext: 28 Jan 2022 10:20


Abstract (English)

In the context of climate change, a transition towards more renewable energy sources and more local use of energy is inevitable. To be able to plan machine schedules for local energy systems, accurate forecasts of electricity load demands are needed. However, shortly after smart meters have first been installed, there is only little past data available. Nevertheless, a precise forecast is ...

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Translation of the abstract (German)

Vor dem Hintergrund des Klimawandels ist ein Übergang zu mehr erneuerbaren Energiequellen und einer stärkeren lokalen Energienutzung unumgänglich. Um Kraftwerksfahrpläne für lokale Energiesysteme planen zu können, sind genaue Prognosen des Strombedarfs erforderlich. Kurze Zeit nach der Installation von Smart Metern stehen jedoch nur wenige Verbrauchsdaten zu vergangenen Zeiten zur Verfügung. ...

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