SteadyMet
Solar forecasts for the coming days
ABOUT
Forecasts based on meteorological models for day-ahead solar forecasting needs
Among the NWP used by SteadyMet, it is worth highlighting the use of the Weather Research and Forecasting (WRF) model. It is a free regional meteorological model that can be configured at very high resolution, thus providing highly accurate forecasts at local levels.
Download the SteadyMet product sheet
4 time/day
Daily update
1 min
Minimum time step
SFTP, API
Data Delivery
P10, P20,…,P80, P90
Percentiles
Power, GHI, DNI, GTI, Temperature, Wind
Available time-series
Site, Portfolio, Town, Country or Regional Level
Coverage
KEY BENEFITS
WORLDWIDE COVERAGE
Thanks to the combination of numerical data from numerous weather services.
HIGH RESOLUTION
High temporal and spatial resolution thanks to the use of public local models.
TAILORED OUTPUT
In terms of update frequency, granularity and format.
MIX OF LEADING WEATHER MODELS
An approach combining predictions from the leading weather models, real time on-site measurements and cutting-edge technologies to offer accurate forecasts.
HIGH SPATIAL RESOLUTION IN REGIONS SUBJECT TO MICROCLIMATES
An in-house local high-resolution model allowing to provide a high spatial resolution forecast in areas where public local weather models are not available.
CUSTOMERS NEEDS
Our solutions are tailored to meet your solar business needs.
METHODOLOGY
Weather model’s outputs of interest (solar radiation, temperature, wind, etc.) are then optimized (step 3), by using production/irradiance observations, to take into account local phenomena, and by leveraging artificial intelligence technologies.
Ready-to-use forecasts, in a customized format, are then disseminated (step 4) through our proprietary web interface, csv files delivered via (S)FTP platforms or API.
DATA ACQUISITION
> From several external or in-house global and/or regional Numerical Weather Prediction (NWP) models.
MODELING
> Optimal combination of NWP models.
> Clear sky conditions using real time aerosols prediction.
> Solar modeling taking into account solar plant characteristics.
> Topographical corrections.
> Probabilistic forecasting.
OPTIMIZATION
> Based on historical and/or real time production / irradiance observations.
> Using Al (deep / machine learning, etc).
> To take into account local phenomena.
DISSEMINATION
> Steadysun’s web interface.
> Customized dashboards.
> Forecast monitoring.
> CVS files delivered via SFTP.
> Customized format.
> API.
Step 1: DATA ACQUISITION
> From several external or in-house global and/or regional Numerical Weather Prediction (NWP) models.
Step 2: MODELING
> Optimal combination of NWP models.
> Clear sky conditions using real time aerosols prediction.
> Solar modeling taking into account solar plant characteristics.
> Topographical corrections.
> Probabilistic forecasting.
Step 3: OPTIMIZATION
> Based on historical and/or real time production / irradiance observations.
> Using Al (deep / machine learning, etc).
> To take into account local phenomena.
Step 4: DISSEMINATION
> Steadysun’s web interface.
> Customized dashboards.
> Forecast monitoring.
> CVS files delivered via SFTP.
> Customized format.
> API.
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