1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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.…
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…
Load Data Valuation in Multi-Energy Systems: An End-to-End Approach
Yangze Zhou, Qingsong Wen, Jie Song +2
Accurate load forecasting serves as the foundation for the flexible operation of multi-energy systems (MES). Multi-energy loads are tightly coupled and exhibit significant uncertai…