5 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)…
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants
Yufan Zhang, Jiajun Han, Yuanyuan Shi
This paper develops a risk-aware net demand forecasting product for virtual power plants, which helps reduce the risk of high operation costs. At the training phase, a bilevel prog…
PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations
Luke Bhan, Yuexin Bian, Miroslav Krstic +1
Over the last decade, data-driven methods have surged in popularity, emerging as valuable tools for control theory. As such, neural network approximations of control feedback laws,…
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,…