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cs.LG2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
Xiaobei Zou, Luolin Xiong, Yang Tang +1
Spatio-temporal forecasting in various domains, like traffic prediction and weather forecasting, is a challenging endeavor, primarily due to the difficulties in modeling propagatio…
cs.LG2023★ 2 cited
Interpretable Deep Reinforcement Learning for Optimizing Heterogeneous Energy Storage Systems
Luolin Xiong, Yang Tang, Chensheng Liu +4
Energy storage systems (ESS) are pivotal component in the energy market, serving as both energy suppliers and consumers. ESS operators can reap benefits from energy arbitrage by op…
cs.AI2023
Hybrid Control Policy for Artificial Pancreas via Ensemble Deep Reinforcement Learning
Wenzhou Lv, Tianyu Wu, Luolin Xiong +4
Objective: The artificial pancreas (AP) has shown promising potential in achieving closed-loop glucose control for individuals with type 1 diabetes mellitus (T1DM). However, design…