Karthikeyan Vaiapury
AERO is a novel optimization framework inspired by Judo, designed to improve stability and adaptability in probabilistic forecasting under uncertainty.
The AERO framework introduces a new way to optimize machine learning models by drawing inspiration from Judo, where disturbances are redirected rather than resisted. This approach is particularly useful in dynamic and uncertain environments, such as predicting solar energy output. By using a set of guiding principles, AERO improves the accuracy and reliability of forecasts, making it a promising tool for enhancing machine learning models' performance in challenging conditions.
