Price: Early Bird $295 USD, Regular $395 USD; Student Early Bird $100 USD, Student Regular $150 USD

Lead Instructor: Dr. Jethro Browell, University of Glasgow
Instructors: Dr. Yi Wang, ETH Zurich, Dr. Tao Hong, University of North Carolina at Charlotte, Dr. Bri-Mathias Hodge, National Renewable Energy Laboratory and University of Colorado, Boulder, Dr. Ricardo Bessa, INESC TEC, Portugal

The increasing integration of weather-dependent renewable energy and flexible loads introduces great complexity and uncertainty to power systems. Modern power systems rely on forecasts of many variables from minutes to weeks ahead to maintain reliable and economic operation. Probabilistic forecasts empower decision-makers with information about forecast uncertainty and play an important role in a growing number of power systems around the world. This tutorial introduces probabilistic forecasting, describes leading methods for load, price, wind, and solar forecasting, and explains how these forecasts are used in power systems. It is delivered by leading researchers who have developed these methods and supported their adoption energy industry in the US, Europe, and beyond.