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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Veröffentlicht in:	Future generation computer systems Jg. 99; S. 391 - 400
Hauptverfasser:	Güngör, Onat, Akşanlı, Barış, Aydoğan, Reyhan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.10.2019
Schlagworte:	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
Online-Zugang:	Volltext
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