Do you have a solar power plant development project and want to add an innovative dimension?
You want to solve a problem and do not know how?
Are you responding to calls for proposals with a research and innovation component?
Are you looking for accurate, precise, well-structured and representative data sets?
Do you want to participate in the development of next generation forecasting models?
Innovation and research are at the heart of Steadysun!
Our team is at your side to set up partnerships, or to respond to collaborative innovation projects tailored to your needs.
Doctors and engineers in renewable energy, atmospheric science, remote sensing, image processing, data science, machine learning and IoT at the service of research and innovation. Innovative solutions, at the cutting edge of progress.
Our team is thrilled to announce the launch of our new forecasting system, which promises to change the way you make use of weather and power forecasts.
Increased flexibility and autonomy, improved accuracy and risk assessment, live updates, and actionable decision-support tools.
Manage your operations effortlessly with the API's broad functional scope, including plants portfolio management, forecast retrieval, and production measurement transmission.
Check out our blog post to find out more.
Short-term forecasting plays an increasingly important role in integrating solar energy into power systems and electricity markets. Yet, the capabilities of state-of-the-art operational solutions often struggle to meet customers’ increasingly demanding needs and expectations.
Steadysun is taking part in the NETWAT (NExus ClimaTe - WATer - Energy) research project. This project aims at developing technological solutions to foster the integration of photovoltaic (PV) production in West Africa without compromising the sustainability of water resource management; a major issue in this region which records the highest atmospheric dust load in the world.
The MoNuTeR project allows to optimize the quality of photovoltaic (PV) production forecast for the current and coming days, thus improving power dispatch as well as spinning reserves and storage systems management in real-time.