Time Series Forecasting using Machine Learning in Complex Systems under Uncertainty

Abstract

We aim at enhancing agent-based electricity market simulation with latest time series forecasting techniques. Challenges in this domain include the need for robust predictions without extensive re-training, incorporating knowledge for accuracy and interpretability, and handling uncertainties in complex systems effectively preventing accuracy losses.