4 papers
LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
Yuan Zhuang, Yi Shen, Yuexin Bian +4
Recent studies have shown that combining parameter-efficient fine-tuning (PEFT) with mixture-of-experts (MoE) is an effective strategy for adapting large language models (LLMs) to…
Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom
Yuexin Bian, Oliver Schmidt, Yuanyuan Shi
Energy-efficient ventilation control plays a vital role in reducing building energy consumption while ensuring occupant health and comfort. While Computational Fluid Dynamics (CFD)…
Improving Sequential Market Coordination via Value-oriented Renewable Energy Forecasting
Yufan Zhang, Honglin Wen, Yuexin Bian +1
Large penetration of renewable energy sources (RESs) brings huge uncertainty into the electricity markets. The current deterministic clearing approach in the day-ahead (DA) market,…
Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach
Yufan Zhang, Mengshuo Jia, Honglin Wen +2
Energy forecasting is an essential task in power system operations. Operators usually issue forecasts and leverage them to schedule energy dispatch ahead of time. However, forecast…