Comparative Performance of Ai Methods for Wind Power Forecast in Portugal

AuthID
 P-00S-KYC
2
Author(s)
Godinho, M
·
Document Type
Article in Press
Year published
2020
Published
in WIND ENERGY, ISSN: 1095-4244
Volume: 24, Issue: 1, Pages: 39-53 (15)
Indexing
Wos®
Scopus®
Crossref®17
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85089450857
Wos: WOS:000560738600001
Source Identifiers
ISSN: 1095-4244
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