5 papers
UniWind: Toward Unified Day-Ahead Wind Power Forecasting via Physics-Informed State Routing
Ronghui Xu, Tongxin Wu, Guozhen Zhang +4
Day-ahead wind power forecasting is essential for cost-effective power-system operation. It is primarily driven by future meteorological conditions while retaining temporal depende…
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
Jindong Tian, Yifei Ding, Ronghui Xu +3
Weather forecasting is a fundamental task in spatiotemporal data analysis, with broad applications across a wide range of domains. Existing data-driven forecasting methods typicall…
SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation
Hongfan Gao, Wangmeng Shen, Xiangfei Qiu +3
Probabilistic time series imputation has been widely applied in real-world scenarios due to its ability for uncertainty estimation and denoising diffusion probabilistic models~(DDP…
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
Jindong Tian, Yuxuan Liang, Ronghui Xu +6
Air pollution significantly threatens human health and ecosystems, necessitating effective air quality prediction to inform public policy. Traditional approaches are generally cate…
MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
Ronghui Xu, Hanyin Cheng, Chenjuan Guo +4
Developing effective path representations has become increasingly essential across various fields within intelligent transportation. Although pre-trained path representation learni…