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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Vydané v:	Alexandria engineering journal Ročník 60; číslo 4; s. 3807 - 3818
Hlavní autori:	Ozer, Ilyas, Efe, Serhat Berat, Ozbay, Harun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2021 Elsevier
Predmet:	Cross-correlation Electrical power systems Load forecasting Transfer learning Load forecasting Transfer learning Cross-correlation Electrical power systems
ISSN:	1110-0168
On-line prístup:	Získať plný text
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