Reuniwatt's CTO Nicolas Sébastien will represent Reuniwatt during the World Meteorological Organization's 7th International Conference on Energy & Meteorology, ICEM, which will take place in Padova, Italy, from 27-29 June. ICEM 2023 The purpose of ICEM 2023 is to provide a dedicated forum where scientists, engineers, economists, policy makers, social scientists, and other specialists and practitioners involved in research and implementation of weather and
Weather and environmental parameters are key factors affecting PV performance. Over the years, the accuracy of the yield prediction has increased. Still, the fundamental question remains when considering development of a new solar plant: how much energy will it generate? Many parameters are subject to tough discussions between a project’s different stakeholders. One of them is future performance, and the question regarding solar resource
Meet our team at The smarter E 2023 in Munich, Germany, at booth A3.540. As a leader in cloud cover observation and forecasting, Reuniwatt offers a clear overview of the amount of solar power production available in the next minutes, hours, days, and weeks. Based on solid R&D work, Reuniwatt has been improving traditional irradiance estimation methods by the application of deep learning techniques.
The DYVALOCCA project is a collaboration between French, German and Gabonese partners. Reuniwatt's Sky InSight (infrared all-sky imager) was used during a field campaign to monitor the evolution of clouds and evaluate their effects on water and light availability in a forest along the Atlantic coast of Central Africa. Low clouds are key components of climate. However, they are rarely well represented in weather
Meet us at the EGU23 in Vienna, Austria, April 23-28 at booth #109 in the Gallery room. Are you interested in seeing our all-sky imagers and associated software features, or do you wish to discuss research projects with us? Book your slot with our team, including experts Damien Ceus, Mehdi Ben Slama and Sarah Vadillo-Quesada. Our all-sky imagers (IR and VIS) will be at
[Webinar Series] AI in Meteorology: Intelligent camera cloud operators for numerical weather prediction The project ICamCloudOps, funded by BMVI/mFUND, invites you to a webinar presenting the final results of the project to the public. ICamCloudOps is a cooperation between DWD, the german weather service, and Reuniwatt, funded by mFUND, the "modernity fund" of the German Federal Ministry of Transport and Digital Infrastructure (BMVI).
The CONTRAILS project aims to develop and combine advanced trustworthy AI methods and physical models to improve contrail identification, characterization, data assimilation, and prediction. It aims to do this by achieving a better understanding of the overall physical process underlying their formation. CONTRAILS Project - AI for parameterization, data assimilation and prediction With respect to aerospace applications, the results of this project will provide
Meet Reuniwatt at Airspace World 2023 in Geneva, Switzerland (March 8-10, 2023). Book your slot with our team, including Hannah Bergler and Laurent Sauvage. We will be happy to discuss with you your digital advanced tower and air traffic-related needs, and give you an overview of the projects we have carried out in the aerospace sector!
Founded more than a decade ago in Reunion Island, where vanilla blossoms prosper, our cloud observation and forecasting solutions are now being used daily throughout hundreds of sites worldwide. In 2023, we're looking forward to welcoming new responsibilities and to continuing to exceed your expectations. A huge step forward is the availability of improved input data for our satellite-to-irradiance estimations thanks to the launch
Solar power is set to occupy an increasingly important role in Europe, as the European Union (EU) strives to implement its Green Deal, reduce fossil fuel imports and increase the share of renewables in its final energy consumption. Energy producers can use Reuniwatt’s solar power forecasts to estimate how much energy they will be able to generate from the solar resource on a given
