Algorithm selection and combining multiple learners for residential energy prediction

Balancing supply and demand management in energy grids requires knowing energy consumption in advance. Therefore, forecasting residential energy consumption accurately plays a key role for future energy systems. For this purpose, in the literature a number of prediction algorithms have been used. Th...

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Vydáno v:	Future generation computer systems Ročník 99; s. 391 - 400
Hlavní autoři:	Güngör, Onat, Akşanlı, Barış, Aydoğan, Reyhan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2019
Témata:	Algorithm selection Combining multiple learners Electricity consumption prediction Time series prediction Electricity consumption prediction Algorithm selection Time series prediction Combining multiple learners
ISSN:	0167-739X, 1872-7115
On-line přístup:	Získat plný text
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