On March 5th from 16-17h in 4A56, we invite Ingrid Munne (Forecasting Lead and Senior Machine Learning Engineer, Electricity Maps) to talk about the technology behind forecasting at Electricity Maps, a company that live broadcasts the energy source of electricity in different countries. With a Ph.D. in Electrical Engineering, she works at the intersection of power systems, weather data, and machine learning, developing forecasting models for electricity prices, generation, and carbon intensity. Her research and industry experience span electricity markets, demand response, and renewable energy forecasting, with a focus on supporting the decarbonization of power systems.

In Ingrid's talk, titled ‘Forecasting the Power Grid at Scale’, she will talk about how large-scale electricity, electricity price and carbon intensity forecasts are built and operated in production at a global level. We will go from raw and often unreliable data to operational machine learning systems that enable carbon-aware computing and smarter energy consumption.

The talk will cover key modeling challenges, feature engineering, and the MLOps infrastructure needed to train, deploy, monitor, and evaluate thousands of forecasting models across more than 190 regions worldwide. The focus is on practical, real-world machine learning for energy and climate impact. There will be time for questions and discussion after. We hope to see you there!