250 citations · 268 across the 8 of their papers we have counts for
9 papers
AT-SKM-Net: An Accelerated Trainable Sampling Kaczmarz-Motzkin Framework for Linear Hard-Constraint Feasibility on Dynamic Graphs
Xiaochen Zhang, Haoyu Zhu, Yao Zhang +1
Graph-structured optimization with linear constraints is fundamental to critical infrastructure but faces scalability limits due to massive strict hard constraints and high dimensi…
Spatial LLM Workload Shifting Needs Foresight: Model Commitment for AI Data Center Operation under Power Grid Constraints
Bojun Du, Hongyang Jia, Tonghui Li +4
AI data centers may face power supply shortages during certain periods, requiring operators to shift large language model (LLM) inference workloads spatially to maintain service ra…
From Tokens to Energy Flexibility: Quantization-Enabled Demand Response for Data Centers with LLM Inference Workloads
Bojun Du, Xiaoyi Fan, Ershun Du +5
The rapid growth of large language model (LLM) inference is creating significant data-center loads that face increasing energy-management challenges under tightening grid condition…
T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method
Haoyu Zhu, Yao Zhang, Jiashen Ren +1
Neural network constraint satisfaction is crucial for safety-critical applications such as power system optimization, robotic path planning, and autonomous driving. However, existi…
Topology and Admittance Estimation: Precision Limits and Algorithms
Yuxiao Liu, Ning Zhang, Qingchun Hou +2
Distribution grid topology and admittance information are essential for system planning, operation, and protection. In many distribution grids, missing or inaccurate topology and a…
Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding
Qingchun Hou, Ning Zhang, Daniel S. Kirschen +3
Increasing the penetration of variable generation has a substantial effect on the operational reliability of power systems. The higher level of uncertainty that stems from this var…
A Linear LMP Model for Active and Reactive Power with Power Loss
Yanghao Yu, Qingchun Hou, Yi Ge +2
Pricing the reactive power is more necessary than ever before because of the increasing challenge of renewable energy integration on reactive power balance and voltage control. How…
Embedding Lithium-ion Battery Scrapping Criterion and Degradation Model in Optimal Operation of Peak-shaving Energy Storage
Qingchun Hou, Yanghao Yu, Ershun Du +5
Lithium-ion battery systems have been used in practical power systems for peak-shaving, demand response, and frequency regulation. However, a lithium-ion battery is degrading while…
Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China
Qingchun Hou, Ning Zhang, Ershun Du +3
The high penetration of photovoltaic (PV) is reshaping the electricity net-load curve and has a significant impact on power system operation and planning. The concept of duck curve…