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Oklahoma High Resolution Wind Resource
Annual average wind resource potential for the state of Oklahoma at a 50 meter height.
This data set has been validated by NREL and wind energy meteorological consultants. *Note:* This data is not suitable for micro-siting potential development projects. This shapefile was gene...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
NREL GIS Data: California Wind High Resolution
Abstract: Annual average wind resource potential of California at a 50 meter height.
Purpose: Provide information on the wind resource development potential within California.
Supplemental_Information: This data set was produced by Tru...
Purpose: Provide information on the wind resource development potential within California.
Supplemental_Information: This data set was produced by Tru...
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Wind Resources by Class and Country At 50m
These estimates are derived from a composite of high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States) and the National Center for Atmospheric Research (Unite...
Heimiller, D. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Linearized Distribution Optimal Power Flow for OEDI SI
This research is to meant to demonstrate the OEDI SI use case for distributed optimal power flow (DOPF). The goal was to formulate the optimal power flow problem in the distribution system for active and reactive power setpoints of PV systems using topology information and voltage...
Sadnan, R. et al Pacific Northwest National Laboratory
Oct 03, 2023
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Miller & Keith (2018) Wind Plant Data
Information on the 430 wind power plants used in 'Observation-based solar and wind power capacity factors and power densities’ by Miller & Keith (2018, Environ. Res. Lett. 13 104008), initially based on the Wind Power Plant locations released by the US Energy Information Adminis...
Miller, L. Harvard University
Nov 22, 2018
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation