3 citations · 3 across the 7 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load
Siyang Li, Hui Xiong, Yize Chen
Due to the vast electric vehicle (EV) penetration to distribution grid, charging load forecasting is essential to promote charging station operation and demand-side management.Howe…
cs.LG2024
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
Yuqi Jiang, Yan Li, Yize Chen
Rapid progress in machine learning and deep learning has enabled a wide range of applications in the electricity load forecasting of power systems, for instance, univariate and mul…
cs.LG2023★ 3 cited
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
Yuxin Pan, Yize Chen, Fangzhen Lin
Designing effective policies for the online 3D bin packing problem (3D-BPP) has been a long-standing challenge, primarily due to the unpredictable nature of incoming box sequences…