Enhancing Wind Power Forecast Accuracy Using the Weather Research and Forecasting Numerical Model-Based Features and Artificial Neuronal Networks

AuthID
 P-00X-G9J
2
Author(s)
Document Type
Article
Year published
2022
Published
in RENEWABLE ENERGY, ISSN: 0960-1481
Volume: 201, Pages: 1076-1085 (10)
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Wos®
Scopus®
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85142145866
Wos: WOS:000909856800006
Source Identifiers
ISSN: 0960-1481
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