Introducing Steadysun: Pioneers in Renewable Energy Forecasting
Steadysun helps energy stakeholders optimize solar and wind production with reliable, data-driven forecasts. Born in 2013 from the expertise of CEA and INES, this innovative platform transforms complex weather data into ultra-accurate forecasts. By harnessing advanced meteorology, cloud and weather observation, artificial intelligence, and Big Data, Steadysun delivers solar variability insights that keep grids stable, reduce operational risks, and drive strategic decision-making. Its technology handles everything from a few kW installations to country-level forecasts—making it a breakthrough solution that offers both precision and global coverage.
Key Benefits of Ultra-Accurate Solar Forecasts
Ultra-accurate solar forecasts are essential to anticipate energy production variations and mitigate cost penalties. Some standout features include:
- Forecast horizon: From a few minutes to 15 days ahead (depending on the processing chosen)
- Update frequency: Every 5 minutes
- Time step: Up to 1 minute
- Weather parameters: AC/DC Power, GHI, DNI, DHI, GTI, temperature, and more
- Technology versatility: Integrates all solar technologies (PV, with or without tracking, CSP)
- Global coverage: Suitable for installations from a few kW to national forecasts
- Confidence intervals: Uncertainty measured through 11 quantiles (P00, P10, P20, …, P80, P90, P100)
Accurate Forecasts for Photovoltaic Energy Producers
Solar power generation is notoriously capricious—a single cloud can drop production by 80% in minutes… Photovoltaic energy producers find that using ultra-accurate solar forecasts reduces balancing penalties and secures revenue even during periods of high weather variability. This precision allows asset owners to maximize the financial return of their installations. When production predictions are as reliable as those provided by Steadysun, operators can confidently plan maintenance windows and adapt to the fast-changing dynamics of solar irradiance, ultimately increasing the overall energy yield.
Supporting Grid Managers and Energy Operators
Grid operators and technical teams rely on forecast data to strategically manage the integration of intermittent solar energy. By accurately predicting production fluctuations, the need for excessive spinning reserve is reduced—thus saving power and even lowering CO2 emissions. Operators benefit from anticipating production shortfalls and price volatility. This forward-looking approach not only enhances grid stability but also streamlines maintenance interventions and operational efficiency. Such precision forecasting turns the challenges of solar variability into competitive advantages and facilitates smoother integration into energy networks.
Revolutionizing Solar Asset Management with SteadyWeb
At the heart of effective solar asset management lies SteadyWeb, the best solar power forecasting platform on the market. This all-in-one app provides an intuitive interface that visualizes and optimizes solar energy production. It transforms complex atmospheric dynamics—including cloud cover, live irradiance data, and weather measurements—into actionable forecasts. The platform enables the reduction of operational risks and maximizes energy injection into the grid. Its API also allows clients to integrate reliable forecast data seamlessly into their own tools, making adoption simple and accelerating the realization of benefits.
Project Impact and Sustainable Development Goals
- SDG 7 – Affordable and Clean Energy
- SDG 9 – Industry, Innovation, and Infrastructure
- SDG 11 – Sustainable Cities and Communities
- SDG 13 – Climate Action
Harnessing Innovation: The Future of Solar and Wind Technologies
Steadysun’s innovative approach to solar and wind forecasting is setting new industry standards. By combining Big Data from over 20 numerical weather models, satellite observations, and ground measurements with a physics-AI hybrid approach, it achieves remarkable forecast accuracy. The integration of regional WRF (Weather Research and Forecasting) models ensures resolutions of up to 1 km—an impressive feat that captures even small-scale weather variations. Such cutting-edge techniques optimize decisions in the face of weather risks, heralding a future where renewable energy production is as predictable as it is sustainable. In a constantly evolving energy landscape, this forward-thinking methodology paves the way for smarter, more resilient grid management and the broader use of green technologies.
