Powering Grid Flexibility at Scale: Building a Global Forecasting Platform

This conference talk explores how Electricity Maps is building a global forecasting platform to enable grid flexibility at scale during the energy transition. Join Íngrid Munné Collado, Tech Lead, and Marcus Garsdal, MLOps Engineer, as they explain their robust machine learning platform that predicts future electricity grid conditions worldwide. Learn how they've developed thousands of specialized ML models trained on granular data from specific grids, interconnected to account for cross-border electricity networks. Discover how accurate, high-resolution forecasting can unlock the grid flexibility needed for decarbonizing electricity systems globally. Íngrid brings her expertise in electrical engineering, electricity markets, and renewable energy forecasting, while Marcus contributes his experience in orchestrating machine learning models for energy and weather forecasting. Recorded at the 2025 GAIA Conference in Gothenburg, Sweden, this 27-minute presentation demonstrates how advanced forecasting can drive large-scale flexibility for a greener future.