activity
20212025
most citedChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

180 citations · 186 across the 14 of their papers we have counts for

collaborators

14 papers

eess.SY2025

Underground Power Distribution System Restoration Using Inverter Based Resources

Wenlong Shi, Hongyi Li, Zhaoyu Wang

Underground power distribution systems (PDSs) are increasingly deployed in urban areas. The integration of smart devices including smart switchgears, pad-mounted distribution trans…

eess.SY2025

Situationally Aware Rolling Horizon Multi-Tier Load Restoration Considering Behind-The-Meter DER

Wenlong Shi, Junyuan Zheng, Zhaoyu Wang

Restoration in power distribution systems (PDSs) is well studied, however, most existing research focuses on network partition and microgrid formation, where load transfer is limit…

eess.SY2025

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning

Wenlong Shi, Hongyi Li, Zhaoyu Wang

Extreme weather frequently cause widespread outages in distribution systems (DSs), demonstrating the importance of hardening strategies for resilience enhancement. However, the wel…

cond-mat.mes-hall2025

Gate modulation and interface engineering on Coulomb blockade in open superconducting islands

Huading Song, Dong Pan, Runan Shang +4

Mesoscopic Coulomb blockade (MCB) is recognized as a phase-coherent variant of the conventional Coulomb blockade that arises in systems with open contacts. In open quantum dots, MC…

eess.SY2024

DERs-Aided Blackstart and Load Restoration Framework for Distribution Systems Considering Synchronization and Frequency Security Constraints

Salish Maharjan, Cong Bai, Han Wang +3

Extreme weather events have led to long-duration outages in the distribution system (DS), necessitating novel approaches to blackstart and restore the system. Existing blackstart s…

eess.SY2024

Input Convex Neural Network-Assisted Optimal Power Flow in Distribution Networks: Modeling, Algorithm Design, and Applications

Rui Cheng, Yuze Yang, Wenxia Liu +2

This paper proposes an input convex neural network (ICNN)-Assisted optimal power flow (OPF) in distribution networks. Instead of relying purely on optimization or machine learning,…