The Net Load Forecasting Prize challenged participants to develop innovative methods for forecasting net load (the difference between total electrical demand and renewable generation) in power systems with high renewable penetration. My solution focused on improving forecast accuracy during critical periods of high uncertainty, helping grid operators better manage the integration of renewable energy sources.