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Customized Forecasts
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Given a facility's location (latitude, longitude, and elevation), we can produce a detailed
forecast of wind speed, wind direction and power generation:
- Speeds in knots, direction in degrees or any units needed.
- Generation in kilowatts or megawatts.
- Forecasts out to 72 hours, or longer (but at reduced skill) if needed.
- Wind forecasts for multiple locations within a given wind farm can be produced.
- Forecast timesteps can be either in increments of 1 hour or 10 minutes.
- Forecasts can be updated as frequently as every hour.
All of the above factors may be tailored to match each facility's particular requirements,
and will ultimately determine the pricing.
Contact us for more information or for a quote.
Click the image below to view a full screen map of 735 wind farms for which we have data to produce wind and generation forecasts. (Some flags on the map are not necessarily located at the location of the actual wind farm and we will correct the flag locations as time allows.)
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USA Wind Farm Locations (Click a flag for details of that farm)
(Some flags on the map are not necessarily located at the location of the actual wind farm and we will correct the flag locations as time allows.)
View USA Wind Farm Locations in a full screen map
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Forecast Formats
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Forecasts can be delivered in a number of ways, but are usually
provided in text (.csv) files, as well as graphs showing the forecast wind speed
and direction as well as the forecast generation as functions of time.
Maps showing the forecast winds across a given region are also available.
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Forecast Methodology
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Frontier Weather utilizes an ensemble of many computer models to produce what we believe to
be the best possible wind and generation forecasts. Most wind and generation forecasts will utilize
a blend of high resolution WRF model runs, as well as the NAM, GFS, RUC and SREF forecast model products.
When available, observed measurements of wind speed and/or generation from the facility the forecasts
are being provided for can greatly aid our forecast skill. In situ observations are very valuable
for assessing the performance of our forecasts: we can identify trends and biases that arise from
topography and other local effects, and then develop post-processing corrections to improve the
overall forecast skill.
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