3 papers
cs.LG2026
Decision-Focused Scenario Generation and Selection for Efficient and Robust Grid Dispatch
Yangze Zhou, Yihong Zhou, Thomas Morstyn +1
The increasing uncertainty from flexible demand and renewable generation has made distributionally robust optimization (DRO) an important tool for robust power system dispatch. DRO…
cs.LG2025
Privacy-preserving Decision-focused Learning for Multi-energy Systems
Yangze Zhou, Ruiyang Yao, Dalin Qin +2
Decision-making for multi-energy system (MES) dispatch depends on accurate load forecasting. Traditionally, load forecasting and decision-making for MES are implemented separately.…
cs.LG2025
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors
Yangze Zhou, Guoxin Lin, Gonghao Zhang +1
Meteorological factors (MF) are crucial in day-ahead load forecasting as they significantly influence the electricity consumption behaviors of consumers. Numerous studies have inco…