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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Bibliographic Details

Published in:	Future generation computer systems Vol. 99; pp. 391 - 400
Main Authors:	Güngör, Onat, Akşanlı, Barış, Aydoğan, Reyhan
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2019
Subjects:	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 Access:	Get full text
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