Powering Grid Flexibility at Scale: Building a Global Forecasting Platform

As the global energy transition accelerates, grid flexibility has emerged as a critical enabler for decarbonizing electricity systems worldwide. However, unlocking this grid flexibility requires accurate, high-resolution forecasting of future global grid conditions. To meet this challenge, Electricity Maps has developed a robust, interconnected machine-learning platform that can predict the future state of electricity networks worldwide. Our approach leverages thousands of specialized ML models—each trained on granular data from a specific grid—which are then interconnected to account for the real-world linkages between cross-border electricity networks.