2023
DOI: 10.1038/s41597-023-02804-w
|View full text |Cite
|
Sign up to set email alerts
|

A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models

Dev Millstein,
Seongeun Jeong,
Amos Ancell
et al.

Abstract: In 2022, wind generation accounted for ~10% of total electricity generation in the United States. As wind energy accounts for a greater portion of total energy, understanding geographic and temporal variation in wind generation is key to many planning, operational, and research questions. However, in-situ observations of wind speed are expensive to make and rarely shared publicly. Meteorological models are commonly used to estimate wind speeds, but vary in quality and are often challenging to access and interp… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
references
References 56 publications
0
0
0
Order By: Relevance