About Frederik K

Frederik obtained his Master of Science in Physics of the Earth and Atmosphere with a focus on Meteorology in Bonn, Germany. Since 2014, he has been working as an energy meteorologist for Reuniwatt. In 2019 Frederik completed his doctorate on the improvement of solar irradiance forecasts using satellite data assimilation in regional numerical weather prediction (NWP) models with Reuniwatt and Université de La Réunion. Frederik has many years of experience in renewable energy forecasting and now focusses on solar power production forecasts. Since his university years, Frederik has been gathering expert knowledge regarding the application of regional-scale NWP models, especially the WRF model.

WRF-Solar EPS: A new probabilistic solar power forecasting tool

Among the many existing numerical weather prediction (NWP) models, the Weather Research and Forecasting (WRF) model is the most widely used open-source predictive model for weather forecasting worldwide. The recently developed WRF-Solar Ensemble Prediction System (EPS) allows us to provide high quality probabilistic solar irradiance forecasts. What is WRF-Solar? As more and more photovoltaic (PV) systems are being installed around the Globe, intraday and

AGU Fall Meeting 2018: the largest Earth and space science meeting

We will present our recent advances in terms of cloud observation and short-term forecasting at the American Geophysical Union (AGU) Fall Meeting, the largest Earth and space science meeting in the world taking place in Washington, D.C. from 10.-14. December 2018. Come and discuss with us! Our representative will present three posters featuring our key technologies: Title: Cloud Base Height Retrieval from a Ground Based

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