[Webinar] Deep-learning approaches for weather-dependent businesses Our last webinar of 2020 will look into deep learning approaches for weather dependent businesses. After this webinar you'll have an understanding of: Why deep learning can enhance weather forecasts for solar energy in comparison to the use of physical models and image processing technology How deep learning works A use
The company from Reunion Island has developed innovative techniques for forecasting solar irradiance for photovoltaic power plants, which have earned it contracts all over the world. A few weeks ago, Reuniwatt signed a contract with Enel Green Power, the world's third largest producer of photovoltaic electricity. Reuniwatt's 20 employees had already convinced Terna, the Italian electricity distributor, and the Brazilian municipality of Oiapoque, in
Reuniwatt's successful webinar series continues. Our next key topic: How to evaluate the performance of your solar power plants correctly. Focus on KPIs for your solar system portfolio Digital solutions are nowadays a standard for measuring and evaluating the performance of PV systems according to the state-of-the art. But what are the top KPIs for asset management reporting? And how can automated reporting be
For the energy intensive mining industry, the integration of renewable energy in their operations is an opportunity to realise fuel savings and environmental benefits. In their new white paper Cost Saving Potential of Solar Hybrid Systems for Microgrids - How to take full benefit of the solar resource within hybrid systems, Reuniwatt and Suntrace share their expertise on how to improve the energy management of
One of the world's largest off-grid solar-storage hybrid projects is under construction, at the Fekola Mine in Mali. A complete solar forecasting system implemented by Reuniwatt will allow to efficiently plan the generator dispatching and to mitigate the risk of solar production variability for the US$ 38million microgrid project. Improving fuel savings with short-term solar forecasts for microgrids Hybrid energy systems combining solar and
We are continuing our successful webinars series! This autumn, Reuniwatt is proud to welcome proElux, Naldeo and Atmo as guest speakers in our webinar series. We are looking forward to meeting you online! Register now for our free webinars: Date Language Webinar Title Webinar on Demand French Centrales PV+stockage avec prévision : solutions vectrices
Reuniwatt has once again been selected as a finalist for The smarter E AWARD 2020! We are proud to provide a reference for a revolutionary concept the field of renewable energy: We've been nominated in the category "Outstanding Projects" for our solutions for the grid integration of solar energy produced at Springbok Solar Cluster, "Dispatchable Solar" and one of the most modern grid-connected utility-scale
Meteorological conditions play an important role in air traffic safety, and highly accurate real-time weather data is essential for air traffic management. In its latest edition, Meteorological Technology International has dedicated an article to next level cloud observation, featuring Reuniwatt's sky imager Sky InSight. You can find the article in the May 2020 edition, pp. 74-76, or download the article here:
The Moroccan Agency for Sustainable Energy, the government agency established to realize the country’s solar ambitions, laid the base for the Noor-Ouarzazate complex, which accelerated the commercial adoption of large-scale solar installations in Morocco and elsewhere. Reuniwatt is proud to serve the most efficient use of solar technology by providing solar irradiance forecasts for MASEN. The World's Largest Concentrated Solar Plant Ouarzazate is located along
Clouds, precipitation and wind have a significant and direct impact on all levels of traffic. Reuniwatt and DWD, the German Meteorological Service, are cooperating in an innovative project, ICamCloudOps (Intelligent Camera Cloud Operators for NWP), to research and promote Artificial Intelligence methods to improve wind and cloud analyses for numerical weather prediction (NWP) models and thus forecasts of cloudiness, precipitation, and wind. AI methods for
