4 papers
OutageDiT: A Foundation Model for Power Outage Forecasting and Scenario Generation
Yunqin Zhu, Feng Qiu, Yao Xie
Power-outage planning requires scenarios before an event occurs. These scenarios must represent uncertainty in magnitude, timing, and duration while preserving temporal dependence.…
DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series
Dongze Wu, Feng Qiu, Yao Xie
Time-series forecasting increasingly demands not only accurate observational predictions but also causal forecasting under interventional and counterfactual queries in multivariate…
Spatio-Temporal Conformal Prediction for Power Outage Data
Hanyang Jiang, Yao Xie, Feng Qiu
In recent years, increasingly unpredictable and severe global weather patterns have frequently caused long-lasting power outages. Building resilience, the ability to withstand, ada…
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning
Song Wei, Xiangrui Kong, Alinson Santos Xavier +3
Energy justice is a growing area of interest in interdisciplinary energy research. However, identifying systematic biases in the energy sector remains challenging due to confoundin…