Publications (132)
A Linear Branch Flow Model for Radial Distribution Networks and its Application to Reactive Power Optimization and Network Reconfiguration
Tianshu Yang, Ye Guo, Lirong Deng +2
This paper presents a cold-start linear branch flow model named modified DistFlow. In modified DistFlow, the active and reactive power are replaced by their ratios to voltage magni…
Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side
Jinsong Sang, Hongbin Sun, Lei Kou
As an efficient way to integrate multiple distributed energy resources and the user side, a microgrid is mainly faced with the problems of small-scale volatility, uncertainty, inte…
CoCoSoDa: Effective Contrastive Learning for Code Search
Ensheng Shi, Yanlin Wang, Wenchao Gu +5
Code search aims to retrieve semantically relevant code snippets for a given natural language query. Recently, many approaches employing contrastive learning have shown promising r…
Virtual Homological Torsion of Closed Hyperbolic 3-manifolds
Hongbin Sun
In this paper, we will use Kahn-Markovic's almost totally geodesic surfaces to construct certain -injective 2-complexes in closed hyperbolic 3-manifolds. Such 2-complexes are…
A Multivariate Density Forecast Approach for Online Power System Security Assessment
Zichao Meng, Ye Guo, Wenjun Tang +2
A multivariate density forecast model based on deep learning is designed in this paper to forecast the joint cumulative distribution functions (JCDFs) of multiple security margins…
An effective Lie--Kolchin theorem for quasi-unipotent matrices
Thomas Koberda, Feng Luo, Hongbin Sun
We establish an effective version of the classical Lie--Kolchin Theorem. Namely, let be quasi--unipotent matrices such that the Jordan Canonical F…