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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.

SteadyMet 

Solar forecasts for the coming days 

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ABOUT

Forecasts based on meteorological models for day-ahead solar forecasting needs 

SteadyMet provides weather and solar 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 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.

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

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

Multi-model GHI forecast above subtropical islands

Production & forecast history (data over one year)

4 times a day 

Update frequency 

1 min 

Forecast time-step  

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

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 

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

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. 

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.

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 several external and internal sources.

Global and Regional Numerical Weather Prediction (NWP) models.

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

Step 2

MODELING 

Optimal combination of NWP models’ outputs.

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

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  

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

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, temperature, wind, aerosols, etc.)

Optimal combination of NWP models’ outputs.

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

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 hours, based on satellite imagery:

Reduce penalties & optimize storage management

Manage spinning reserve in real time

Sell energy at the best price on intraday 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 hours, based on satellite imagery

Reduce penalties & optimize storage management

Manage spinning reserve in real time

Sell energy at the best price on intraday 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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