3 citations · 4 across the 8 of their papers we have counts for
9 papers
ML-OPF-Bench: Benchmarking Machine Learning for Optimal Power Flow
Xinyi Liu, Xuan He, Danny H. K. Tsang +1
Machine Learning (ML) methods promise a fast solution process for Optimal Power Flow (OPF). While inconsistent test cases, implementations, and evaluation metrics across existing s…
Scaling Laws of Machine Learning for Optimal Power Flow
Xinyi Liu, Xuan He, Yize Chen
Optimal power flow (OPF) is one of the fundamental tasks for power system operations. While machine learning (ML) approaches such as deep neural networks (DNNs) have been widely st…
FREESH: Fair, Resource- and Energy-Efficient Scheduling for LLM Serving on Heterogeneous GPUs
Xuan He, Zequan Fang, Jinzhao Lian +3
The ever-increasing computation and energy demand for LLM and AI agents call for holistic and efficient optimization of LLM serving systems. In practice, heterogeneous GPU clusters…
Vertex-Guided Redundant Constraints Identification for Unit Commitment
Xuan He, Yuxin Pan, Yize Chen +1
Power systems Unit Commitment (UC) problem determines the generator commitment schedule and dispatch decisions to realize the reliable and economic operation of power networks. The…
Is Locational Marginal Price All You Need for Locational Marginal Emission?
Xuan He, Danny H. K. Tsang, Yize Chen
Growing concerns over climate change call for improved techniques for estimating and quantifying the greenhouse gas emissions associated with electricity generation and transmissio…
Efficient Unit Commitment Constraint Screening under Uncertainty
Xuan He, Honglin Wen, Yufan Zhang +2
Day-ahead unit commitment (UC) is a fundamental task for power system operators, where generator statuses and power dispatch are determined based on the forecasted nodal net demand…
Long-Term Carbon-Efficient Planning for Geographically Shiftable Resources: A Monte Carlo Tree Search Approach
Xuan He, Danny H. K. Tsang, Yize Chen
Global climate challenge is demanding urgent actions for decarbonization, while electric power systems take the major roles in clean energy transition. Due to the existence of spat…
Fast Constraint Screening for Multi-Interval Unit Commitment
Xuan He, Jiayu Tian, Yufan Zhang +2
Power systems Unit Commitment (UC) problem determines the generator commitment schedule and dispatch decisions for power networks based on forecasted electricity demand. However, w…
Enabling Fast Unit Commitment Constraint Screening via Learning Cost Model
Xuan He, Honglin Wen, Yufan Zhang +1
Unit commitment (UC) are essential tools to transmission system operators for finding the most economical and feasible generation schedules and dispatch signals. Constraint screeni…