1 citations · 1 across the 6 of their papers we have counts for
6 papers
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.…
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…
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
Haoyuan Jiang, Xuantang Xiong, Ziyue Li +7
Currently, traffic signal control (TSC) methods based on reinforcement learning (RL) have proven superior to traditional methods. However, most RL methods face difficulties when ap…
A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery
Dedong Li, Ziyue Li, Zhishuai Li +5
The trajectory on the road traffic is commonly collected at a low sampling rate, and trajectory recovery aims to recover a complete and continuous trajectory from the sparse and di…
Choose A Table: Tensor Dirichlet Process Multinomial Mixture Model with Graphs for Passenger Trajectory Clustering
Ziyue Li, Hao Yan, Chen Zhang +3
Passenger clustering based on trajectory records is essential for transportation operators. However, existing methods cannot easily cluster the passengers due to the hierarchical s…
Tensor Dirichlet Process Multinomial Mixture Model for Passenger Trajectory Clustering
Ziyue Li, Hao Yan, Chen Zhang +4
Passenger clustering based on travel records is essential for transportation operators. However, existing methods cannot easily cluster the passengers due to the hierarchical struc…