3 papers
cs.LG2025
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation
Chenxi Liu, Hao Miao, Qianxiong Xu +5
Multivariate time series forecasting (MTSF) endeavors to predict future observations given historical data, playing a crucial role in time series data management systems. With adva…
cs.LG2025
Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery
Julius Stephan Junker, Rong Hu, Ziyue Li +1
This paper addresses the critical challenge of optimizing electric vehicle charging station placement through a novel data-driven methodology employing causal discovery techniques.…
cs.LG2024
Deep Causal Learning to Explain and Quantify The Geo-Tension's Impact on Natural Gas Market
Philipp Kai Peter, Yulin Li, Ziyue Li +1
Natural gas demand is a crucial factor for predicting natural gas prices and thus has a direct influence on the power system. However, existing methods face challenges in assessing…