Wind power prediction in new stations based on knowledge of existing stations: a cluster based multi source domain adaptation approach

Tasnim, Sumaira, Rahman, Ashfaqur, Maung Than Oo, Amanullah and Haque, Md Enamul 2018, Wind power prediction in new stations based on knowledge of existing stations: a cluster based multi source domain adaptation approach, Knowledge-based systems, vol. 145, pp. 15-24, doi: 10.1016/j.knosys.2017.12.036.

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Title Wind power prediction in new stations based on knowledge of existing stations: a cluster based multi source domain adaptation approach
Author(s) Tasnim, Sumaira
Rahman, Ashfaqur
Maung Than Oo, Amanullah
Haque, Md EnamulORCID iD for Haque, Md Enamul orcid.org/0000-0002-8893-2181
Journal name Knowledge-based systems
Volume number 145
Start page 15
End page 24
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-04-01
ISSN 0950-7051
Keyword(s) wind power prediction
transfer learning
cluster based data
distribution
domain adaptation
science & technology
technology
computer science, artificial intelligence
computer science
ensemble
models
speed
classifiers
Language eng
DOI 10.1016/j.knosys.2017.12.036
Field of Research 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
08 Information And Computing Sciences
15 Commerce, Management, Tourism And Services
17 Psychology And Cognitive Sciences
Socio Economic Objective 850509 Wind Energy
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID N/A
Copyright notice ©2018, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30106160

Document type: Journal Article
Collection: School of Engineering
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