Forecasting for the Energy System - Short Timescales

Explore forecasting techniques for short timescales in energy systems through this comprehensive lecture by Riwal Plougonven from the Laboratoire de Météorologie Dynamique / IPSL at École Polytechnique. Delve into the intricacies of predicting energy demand and supply for immediate to near-future timeframes, essential for efficient grid management and renewable energy integration. Gain insights into meteorological factors affecting energy production and consumption, and learn about state-of-the-art modeling approaches used in the industry. Understand the challenges and opportunities in short-term energy forecasting, including the role of machine learning and big data analytics in improving prediction accuracy.