Integrating Machine Learning with Multi-Horizon Stochastic Programming for Scalable Capacity Expansion
We introduce a novel approach to tackling large-scale capacity expansion problems in power systems by integrating machine learning techniques with multi-horizon stochastic programming that combines long-term strategic decision-making under uncertainty with short-term operational decisions and uncertainties. Our propose...