Interview on the impact machine learning is having in weather, climate, and energy meteorology research and applications. Thanks to EPFL Applied Machine Learning Days 2025!

In our new article in Energy and AI, we address wind farm condition monitoring from a new angle, using generative domain mapping across wind turbines. In this work, led by PhD student Stefan Jonas, we show that normal behaviour models for wind turbines trained on limited data can lead to unreliable condition monitoring. To address this, we introduce a domain mapping method that improves anomaly detection and yields more accurate anomaly scores. Using a CycleGAN model, we map

We presented our group's research on intraday solar energy forecasting to the Netherlands Authority for Consumers and Markets (ACM). More...

Accurate solar and wind energy forecasts can improve grid stability. Solar, wind and hydropower are key drivers in the energy transition. Electricity production from solar and wind energy is subject to significant fluctuations. These fluctuations must be mitigated through the use of storage systems and conventional power plants such as gas-fired, nuclear and coal power plants, whose output can be adjusted to meet grid demands. To ensure grid stability, the amount of electrici

A new deep-learning satellite retrieval of surface solar radiation developed by Kevin marks a shift from traditional physics-based...

Ana presented her research on “Unraveling the sources of subseasonal predictability with machine learning” at EGU. Angela gave a presentation on “Probabilistic solar radiation forecasting across Europe using deep learning”. Read more here and here .

Attend our track at AMLD - Applied Machine Learning Days on “AI to Accelerate the Energy Transition and Adapt to Climate Change” at EPFL on 12 Feb. Join us for inspiring talks and perspectives by Georges Kariniotakis, Pierre Gentine, Christian Lessig, Benedikt Blumenstiel and Alban Puech.

Learn more about our research in solar energy forecasting and wind resources for the energy transition. Join us on for this Lunch Lecture of the TU Delft Climate Action Program on November 14th. Watch the recording here .