A combined deep learning application for short term load forecasting

An accurate prediction of buildings' load demand is one of the most important issues in smart grid and smart building applications. In this way, an important contribution is made to improving the reliability of the power system, facilitating the integration of renewable energy sources and makin...

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Veröffentlicht in:	Alexandria engineering journal Jg. 60; H. 4; S. 3807 - 3818
Hauptverfasser:	Ozer, Ilyas, Efe, Serhat Berat, Ozbay, Harun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2021 Elsevier
Schlagworte:	Cross-correlation Electrical power systems Load forecasting Transfer learning Load forecasting Transfer learning Cross-correlation Electrical power systems
ISSN:	1110-0168
Online-Zugang:	Volltext
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