Privacy-Preserving Distributed Joint Probability Modeling for Spatial-Correlated Wind Farms. - Mengshuo Jia; Chen Shen 004 (CoRR, 2018)

Privacy-Preserving Probabilistic Forecasting for Temporal-spatial Correlated Wind Farms. - Mengshuo Jia; Chen Shen 004; Zhiwen Wang 006; Zhitong Yu (CoRR, 2019)

A Distributed Privacy-preserving Incremental Update Algorithm for Probability Distribution of Wind Power Forecast Error. - Mengshuo Jia; Chen Shen 004; Zhaojian Wang (CoRR, 2019)

Distributed Generalized Nash Equilibrium Seeking for Non-Monotone Energy Sharing Games. - Zhaojian Wang; Feng Liu 014; Zhiyuan Ma; Yue Chen 012; Mengshuo Jia; Wei Wei 007; Qiuwei Wu (CoRR, 2019)

Privacy-preserving Distributed Probabilistic Load Flow. - Mengshuo Jia; Yi Wang 022; Chen Shen 004; Gabriela Hug (CoRR, 2020)

Iterative Decomposition of Joint Chance Constraints in OPF. - Mengshuo Jia; Gabriela Hug; Chen Shen 004 (CoRR, 2020)

A fault detection scheme for PV panels in large scale PV stations with complex installation conditions. - Qianni Cao; Chen Shen 004; Mengshuo Jia (CoRR, 2021)

Privacy-Preserving Distributed Clustering for Electrical Load Profiling. - Mengshuo Jia; Yi Wang 022; Chen Shen 004; Gabriela Hug (IEEE Trans. Smart Grid, 2021)

Chance-constrained OPF: A Distributed Method with Confidentiality Preservation. - Mengshuo Jia; Gabriela Hug; Yifan Su; Chen Shen 004 (CoRR, 2022)

Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method. - Mengshuo Jia; Qianni Cao; Chen Shen 004; Gabriela Hug (CoRR, 2022)

The Design of By-product Hydrogen Supply Chain Considering Large-scale Storage and Chemical Plants: A Game Theory Perspective. - Qianni Cao; Boda Li; Mengshuo Jia; Chen Shen 004 (CoRR, 2022)

Federated Clustering for Electricity Consumption Pattern Extraction. - Yi Wang 022; Mengshuo Jia; Ning Gao; Leandro Von Krannichfeldt; Mingyang Sun; Gabriela Hug (IEEE Trans. Smart Grid, 2022)

Value-oriented Renewable Energy Forecasting for Coordinated Energy Dispatch Problems at Two Stages. - Yufan Zhang; Mengshuo Jia; Honglin Wen; Yuanyuan Shi (CoRR, 2023)

Convergence Analysis of Dual Decomposition Algorithm in Distributed Optimization: Asynchrony and Inexactness. - Yifan Su; Zhaojian Wang; Ming Cao 001; Mengshuo Jia; Feng Liu 014 (IEEE Trans. Autom. Control., 2023)

Data-driven Power Flow Linearization: Simulation. - Mengshuo Jia; Gabriela Hug; Ning Zhang 008; Zhaojian Wang; Yi Wang 022; Chongqing Kang (CoRR, 2024)

Enabling Large Language Models to Perform Power System Simulations with Previously Unseen Tools: A Case of Daline. - Mengshuo Jia; Zeyu Cui; Gabriela Hug (CoRR, 2024)

Data-driven Power Flow Linearization: Theory. - Mengshuo Jia; Gabriela Hug; Ning Zhang 008; Zhaojian Wang; Yi Wang 022; Chongqing Kang (CoRR, 2024)

Zero-Shot Load Forecasting with Large Language Models. - Wenlong Liao; Zhe Yang 007; Mengshuo Jia; Christian Rehtanz; Jiannong Fang; Fernando Porté-Agel (CoRR, 2024)

Optimal Planning of Standalone Net-Zero Energy Systems With Small Modular Reactors. - Mingyu Huang; Xueyuan Cui; Ning Zhang 008; Mengshuo Jia; Yi Wang 022 (IEEE Trans. Smart Grid, 2024)

RePower: An LLM-driven autonomous platform for power system data-guided research. - Yu-Xiao Liu; Mengshuo Jia; Yong-Xin Zhang; Jianxiao Wang; Guannan He; Shao-Long Zhong; Zhi-Min Dang (Patterns, 2025)

Toward Value-Oriented Renewable Energy Forecasting: An Iterative Learning Approach. - Yufan Zhang; Mengshuo Jia; Honglin Wen; Yuexin Bian; Yuanyuan Shi (IEEE Trans. Smart Grid, 2025)

Enhancing LLMs for Power System Simulations: A Feedback-Driven Multi-Agent Framework. - Mengshuo Jia; Zeyu Cui; Gabriela Hug (IEEE Trans. Smart Grid, 2025)