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Name

Company

Email

Plant name

PLANT FEATURES

latitude (°)

longitude  (°)

tilt (°)

0° = Horizontal

Azimuth (°)

 0° = South 

PEAK CAPACITY (kWp)

INVERTER AC POWER (kW)

brand of PV moduleS

model of PV moduleS

TRACKER

angle max (°)

In case of a single axis tracker

ground cover ratio (gcr)

If backtracking activated

FORECASTS SETTINGS

TIME HORIZON

time step

ADDITIONAL INFORMATION

Please feel free to add any useful information

 Thank you !
You will receive all the information by email as soon as your forecasts are available.

SteadySat

Solar forecasts for the coming hours 

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ABOUT

Forecast based on satellite imagery for intraday solar forecasting needs 

SteadySat provides advanced solar irradiance and production forecasts up to 6 hours ahead. This product combines real-time satellite imagery with in-situ observations processing, weather forecast, physical models and artificial intelligence.

Cloud properties and evolution are monitored and predicted in real-time, improving the accuracy of solar forecasts for the next few hours and anticipating the risks of variability.

Intraday power forecast for a 12MWp PV plant (Germany) 

Intraday power forecast for a 17MWp PV plant (Australia) 

Satellite-based GHI forecast above Western Europe 

6 hours 

Max time horizon 

Up to 144 times a day 

Update frequency  

1 min 

Forecast time-step  

Power, GHI, DNI, DHI, GTI, Temperature, Wind 

Available parameters  

Site, Portfolio, City, Region or Country 

Coverage  

PV, Trackers, Bifacial, CSP 

Technology  

API, SFTP, etc. 

Data delivery  

P10, P20,… , P80, P90 

Confidence levels  

KEY BENEFITS

WORLDWIDE COVERAGE 

Real-time process of images coming from five geostationary meteorological satellites.  

ACCURACY IMPROVEMENT 

Frequently updated information of current and upcoming weather situations. Local weather effects are more accurately predicted at specific locations with nowcasting. SteadySat perfectly complements SteadyMet with precise intraday forecasts thanks to high-resolution remote sensing observations. 

TAILORED OUTPUTS 

In terms of parameters, update frequency, granularity and delivery settings. 

CUSTOMERS NEEDS  

This product is tailored to meet your solar business needs. It is particularly suitable for the optimization of storage dispatch and intraday trading markets.

GRID MANAGEMENT

Solar and wind forecasts to reduce spinning reserve, and avoid grid instability.

PLANT OPERATIONS

Products and services for solar plant operators allowing you to maximize the profitability of your plants.

ENERGY TRADING & PORTFOLIO MANAGEMENT 

Solar and wind portfolio production forecasts to sell electricity at the best price on energy market (SPOT), and to minimize the cost of imbalance penalties.

SMART GRIDS & SMART CITIES 

Solar, Wind and Load forecast to define the best control strategy and maximize self-consumption.

CUSTOMERS NEEDS

This product is tailored to meet your solar business needs. It is particularly suitable for the optimization of storage dispatch and intraday trading markets.

Energy trading & Portfolio management

Solar and wind portfolio production forecasts to sell electricity at the best price on energy market (SPOT), and to minimize the cost of imbalance penalties.

Grid management

Solar and wind forecasts to reduce spinning reserve, and avoid grid instability.

Plant operation

Products and services for solar plant operators allowing you to maximize the profitability of your plants.

Smart grids & smart cities

Solar, Wind and Load forecast to define the best control strategy and maximize self-consumption.

METHODOLOGY

SteadyMet is based on an optimal combination of several Numerical Weather Prediction (NWP) models. These models simulate the evolution of the atmosphere (step 2) from initial atmospheric conditions estimated by assimilation of meteorological observation data over a global or local granularity (step 1). For this purpose, the area of ​​calculation is divided into a three-dimensional grid with more or less large mesh.

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.

Step 1

DATA ACQUISITION

From 5 geostationary satellites.

Different channels providing information on the atmosphere, clouds and aerosols.

Every 5 to 15 minutes.

Step 2

MODELING 

Cloud detection, classification and motion prediction.

Accurate estimation of clear sky conditions using real-time aerosols prediction.

Calculation direct and diffuse irradiance components in cloudy conditions.

PV 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 delivery (API, SFTP, etc..).

Customized format (csv, txt, etc.).

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

Forecast performance monitoring.

METHODOLOGY  

SteadySat compiles live images from 5 geostationary satellites (step 1) and processes them (estimation of motion vector and application on the last available image) to estimate the clouds position for the next few hours. This cloud position is used to forecast the irradiance (step 2). The satellite imagery also allows us to estimate the global horizontal irradiance at acquisition time (10 to 15 minutes).

Forecasts 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. 

Step 1

Step 2

Step 3

Step 4

DATA ACQUISITION 

MODELING 

OPTIMIZATION 

DELIVERY 

From 5 geostationary satellites.

Different channels providing information on the atmosphere, clouds and aerosols.

Every 5 to 15 minutes.

Cloud detection, classification and motion prediction.

Accurate estimation of clear sky conditions using real-time aerosols prediction.

Calculation direct and diffuse irradiance components in cloudy conditions.

PV 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 delivery (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 ! 

Or contact us to discuss your projects.

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OUR PRODUCTS AND SERVICES  

Solar forecasts for the coming days, using numerical weather prediction models outputs:

Reduce penalties

Plan and minimize spinning reserve

Sell energy at the best price on day-ahead markets

Solar forecasts for the coming minutes, from ground based fisheye sky images:

Anticipate intra-hour variations of production

Minimize and manage spinning reserve in real time

Reduce genset consumption and increase their lifetime

Energy consumption forecasts, thanks to artificial intelligence and weather forecasting:

Electrical and thermal uses

Optimization of self-consumption

Smart grids management

Technical and economic studies:

Sizing and control of hybrid systems

Solar resource and yield assessment

Assessment of gains brought by forecasting

Development of grid codes

Solar forecasts for the coming days, using numerical weather prediction models outputs

Reduce penalties

Plan and minimize spinning reserve

Sell energy at the best price on day-ahead markets

Solar forecasts for the coming minutes, from ground based fisheye sky images

Anticipate intra-hour variations of production

Minimize and manage spinning reserve in real time

Reduce genset consumption and increase their lifetime

Energy consumption forecasts, thanks to artificial intelligence and weather forecasting

Electrical and thermal uses

Optimization of self-consumption

Smart grids management

Technical and economic studies

Sizing and control of hybrid systems

Solar resource and yield assessment

Assessment of gains brought by forecasting

Development of grid codes

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