SteadyMet 

Based on meteorological models

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ABOUT

Up to the next 15 days, for day-ahead and intraday forecasting need 

SteadyMet provides weather and production forecasts up to 15 days ahead. This product combines several sources of Numerical Weather Predictions (NWP) data with physical models and artificial intelligence.

SteadyMet can be configured at very high resolution (1 km) using the Weather Research and Forecasting (WRF) model, providing highly accurate forecasts at local scale. Steadysun is able to implement and optimize this model anywhere in the world to meet the need of high-quality day-ahead forecasts. 

Global and regional NWP models

Day-ahead power forecast for a 30 MWp distributed PV portfolio
(tropical island)

Day-ahead power forecast for a 30 MWp distributed PV portfolio

Day-ahead GHI forecasts for 1 site (mid-latitude oceanic climate)

Day-ahead GHI forecasts

Multi-model GHI forecast above subtropical islands

Multi-model GHI forecast above subtropical islands

Production & forecast history (data over one year)

Production & forecast history (data over one year)

Up to 1 hour

Update frequency

1 min 

Forecast time-step

Power, GHI, DNI, DHI, GTI, Temperature, Wind Speed, Wind Direction, etc.

Available parameters

Site, Portfolio, City, Region or Country

Coverage

PV, CSP, onshore, offshore

Technology  

API, SFTP, etc.

Data delivery  

P10, P20,…, P80, P90

Confidence levels

KEY BENEFITS

WORLDWIDE COVERAGE

Thanks to a large number of global and regional NWP data from several weather operators. 

BEST-IN-CLASS SOLUTION

An approach combining ensemble predictions from the leading weather models, real-time on-site measurements and cutting-edge technologies to offer accurate probabilistic forecasts.

RELEVANT FOR MICROCLIMATES

An in-house regional model at very high spatio-temporel resolution, providing realistic and precise forecasts in areas where local effects are significant and public regional weather models are not available.

TAILORED OUTPUTS

In terms of weather parameters, update frequency, granularity and format.

CUSTOMERS NEEDS  

Our solutions are tailored to meet your solar business needs. 

Anticipate electricity price evolution on spot power markets

Power trading & portfolio management

Optimize transactions on power markets. Reduce unbalancing costs. Manage risks.

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Solar forecasting for distribution system operators

Interconnected grid management

Reduce grid management costs.

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Irradiance forecasting for plant operations

Plant operation

Make your solar and wind power plants more profitable. Limit penalties, maximize revenues.

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Solar forecasting for self consumption

Smart grids and smart cities

Define the best control strategy and maximize self consumption.

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METHODOLOGY

Step 1

DATA ACQUISITION

 From several external and internal sources

Global and Regional Numerical Weather Prediction (NWP) models

Numerous parameters (clouds, radiation, wind speed/direction, temperature, aerosols, etc.)

Step 2

MODELING 

Optimal combination of NWP models’ outputs

Power modeling based on physical models and plant features

High-resolution topographical corrections (down to 90m)

Probabilistic forecasting using physical and statistical approaches

Step 3

OPTIMIZATION 

Based on historical and/or real-time on-site measurements

Continuous accuracy improvements using state-of-the-art machine learning techniques

To take into account local weather phenomena and power plants’ behavior

Step 4

DELIVERY 

Flexible sending (API, SFTP, etc..)

Customized format (csv, txt, etc.)

Dedicated and secured web interfaces (visualization, data analytics and warnings)

Forecast performance monitoring

METHODOLOGY  

Step 1 data acquisition
Step 2 modeling
Step 3 optimization
Step 4delivery

Step 1

Step 2

Step 3

Step 4

DATA ACQUISITION 

MODELING 

OPTIMIZATION 

DELIVERY 

From several external and internal sources

Global and Regional Numerical Weather Prediction (NWP) models

Numerous parameters (clouds, radiation, wind speed/direction, temperature, aerosols, etc.)

Optimal combination of NWP models’ outputs

Power modeling based on physical models and plant features

High-resolution topographical corrections (down to 90m)

Probabilistic forecasting using physical and statistical approaches

Based on historical and/or real-time on-site measurements

Continuous accuracy improvements using state-of-the-art machine learning techniques

To take into account local weather phenomena and power plants’ behavior

Flexible sending (API, SFTP, etc..)

Customized format (csv, txt, etc.)

Dedicated and secured web interfaces (visualization, data analytics and warnings)

Forecast performance monitoring

Sign up for your 30-day free trial now! 

OTHER PRODUCTS AND SERVICES

Steadysat, Intraday solar forecasting

 Forecasts and live data based on satellite imagery

Reduce penalties & optimize storage management

Manage spinning reserve in real time

Sell electricity at the best price on intraday markets

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Steadyeye, Next minutes solar forecasting

Forecast from ground based fisheye sky imagery

Anticipate intra-hour variations of production

Minimize and manage spinning reserves in real time

Reduce genset consumption and increase their lifetime

LEARN MORE +
Solar energy feasability study

Technical and economic studies on renewable energy and electrical systems

Assessment of gains brought by forecasting

Solar resource and yield assessment

Sizing and control of hybrid systems

Development of grid codes

LEARN MORE +
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73370 Le Bourget-du-Lac
France

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QUOS Group
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BP 40328
73382 Le Bourget-du-Lac
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