5 papers
Cross-Temperature Defect Identification in Atomistic Simulations via Multi-Level Domain Alignment
Yating Fang, Jungmin Kim, Qian Qian Zhao +4
Identifying atomic defects at elevated temperature is difficult because thermal fluctuations blur the local symmetry that both geometric heuristics and supervised classifiers rely…
Day-Ahead Electricity Price Forecasting Using a Multivariate Group Lasso Method
Keyi Wang, Jiaxiang Ji, Mahan Mansouri +1
Electricity price signals in modern power systems exhibit complex dependence structures that render forecasting inherently challenging. Our analysis of real-world pricing signals f…
Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
Zhenghua Pan, Ahmed Aziz Ezzat
Time series foundation models (TSFMs) have shown strong zero-shot forecasting performance, but their generalization in covariate-driven, non-stationary settings is underexplored. E…
A Deep Zero-Inflated Model of North Atlantic Right Whale Presence To Support Blue Economy Management in the U.S. East Coast
Jiaxiang Ji, Laura Nazzaro, Josh Kohut +1
Effective modeling of endangered marine mammal species, such as the North Atlantic Right Whale, is critical for balancing marine conservation with the growing blue economy. Passive…
Economic and Reliability Value of Improved Offshore Wind Forecasting in Bulk Power Grid Operation: A Case Study of The New York Power Grid
Khaled Bin Walid, Feng Ye, Jiaxiang Ji +3
This study investigates the economic and reliability benefits of improved offshore wind forecasting for grid operations along the U.S. East Coast. We introduce and evaluate a state…