How should machine learning be successfully used for wind speed vertical extrapolation? / Nicola Bodini and Mike Optis.

Author/creator Bodini, Nicola author.
Other author Optis, Michael, author.
Other author National Renewable Energy Laboratory (U.S.), issuing body.
Other author United States. Department of Energy. Wind Energy Technologies Office, sponsoring body.
Format Graphic
Publication[Golden, Colo.] : National Renewable Energy Laboratory, 2020.
Description1 online resource (1 poster) : color.
Supplemental Contenthttps://purl.fdlp.gov/GPO/gpo248560
Supplemental ContentAddress at time of PURL creation
Subjects

SeriesNREL/PO ; 5000-77191
NREL/PO ; 5000-77191. http://id.loc.gov/authorities/names/no2008020017
General note"WindEurope Technology Workshop 2020, June 8-11, 2020."
General noteThis is a publication issued by the United States federal government or produced with federal funds.
General noteIn scope of the U.S. Government Publishing Office Cataloging and Indexing Program (C&I) and Federal Depository Library Program (FDLP).
Bibliography noteIncludes bibliographical references.
Access restrictionPublicly released.
Funding informationSponsored by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Wind Energy Technologies Office DE-AC36-08GO28308
Source of descriptionDescription based on online resource; title from PDF caption (NREL, viewed January 6, 2026).
Genre/formConference materials.
Genre/formExhibition posters.
Standard identifier# 0000-0001-5617-6134
Standard identifier# 1669547 OSTI ID
Technical rpt numberPO.027
GPO item number0430-P-17 (online)
Govt. docs number E 9.28:NREL/PO-5000-77191

Availability

Library Location Call Number Status Item Actions
Electronic Resources ✔ Available