Wind power prediction using bootstrap aggregating trees approach to enabling sustainable wind power integration in a smart grid

Harrou, Fouzi; Saidi, Ahmed; Sun, Ying Ying

doi:10.1016/j.enconman.2019.112077

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Wind power prediction using bootstrap aggregating trees approach to enabling sustainable wind power integration in a smart grid

Author(s): Fouzi Harrou , Ahmed Saidi , Ying Sun

Publication date Created: December 2019

Publication date (Print): December 2019

Journal: Energy Conversion and Management

Publisher: Elsevier BV

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Title: Energy Conversion and Management

Abbreviated Title: Energy Conversion and Management

Publisher: Elsevier BV

ISSN (Print): 01968904

Publication date Created: December 2019

Publication date (Print): December 2019

Volume: 201

Page: 112077

Article

DOI: 10.1016/j.enconman.2019.112077

SO-VID: 8ef73954-2934-440f-b584-012c2e7d9f0c

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https://www.elsevier.com/tdm/userlicense/1.0/

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Wind power prediction using bootstrap aggregating trees approach to enabling sustainable wind power integration in a smart grid

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