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20182025
most citedToward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach

6 citations · 25 across the 18 of their papers we have counts for

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12 papers · 1 filter

eess.SY2024★ 1 cited

Data-driven Power Flow Linearization: Simulation

Mengshuo Jia, Gabriela Hug, Ning Zhang +3

Building on the theoretical insights of Part I, this paper, as the second part of the tutorial, dives deeper into data-driven power flow linearization (DPFL), focusing on comprehen…

eess.SY2024★ 6 cited

Enabling Large Language Models to Perform Power System Simulations with Previously Unseen Tools: A Case of Daline

Mengshuo Jia, Zeyu Cui, Gabriela Hug

The integration of experiment technologies with large language models (LLMs) is transforming scientific research, offering AI capabilities beyond specialized problem-solving to bec…

eess.SY2023★ 6 cited

Toward Value-oriented Renewable Energy Forecasting: An Iterative Learning Approach

Yufan Zhang, Mengshuo Jia, Honglin Wen +2

Energy forecasting is an essential task in power system operations. Operators usually issue forecasts and leverage them to schedule energy dispatch ahead of time. However, forecast…

eess.SY2022

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 +1

Hydrogen, an essential resource in the decarbonized economy, is commonly produced as a by-product of chemical plants. To promote the use of by-product hydrogen, this paper proposes…

eess.SY2022★ 1 cited

Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method

Mengshuo Jia, Qianni Cao, Chen Shen +1

Probabilistic load flow (PLF) calculation, as a fundamental tool to analyze transmission system behavior, has been studied for decades. Despite a variety of available methods, exis…

eess.SY2022

Chance-constrained OPF: A Distributed Method with Confidentiality Preservation

Mengshuo Jia, Gabriela Hug, Yifan Su +1

Given the increased percentage of wind power in power systems, chance-constrained optimal power flow (CC-OPF) calculation, as a means to take wind power uncertainty into account wi…

eess.SY2021

A fault detection scheme for PV panels in large scale PV stations with complex installation conditions

Qianni Cao, Chen Shen, Mengshuo Jia

Faults in photovoltaic (PV) systems can seriously affect the efficiency, energy yield as well as the security of the entire PV plant, if not detected and corrected quickly. Therefo…

eess.SY2020★ 1 cited

Iterative Decomposition of Joint Chance Constraints in OPF

Mengshuo Jia, Gabriela Hug, Chen Shen

In chance-constrained OPF models, joint chance constraints (JCCs) offer a stronger guarantee on security compared to single chance constraints (SCCs). Using Boole's inequality or i…

eess.SY2020★ 2 cited

Privacy-preserving Distributed Probabilistic Load Flow

Mengshuo Jia, Yi Wang, Chen Shen +1

Probabilistic load flow (PLF) allows to evaluate uncertainties introduced by renewable energy sources on system operation. Ideally, the PLF calculation is implemented for an entire…

eess.SY2020★ 3 cited

Privacy-Preserving Distributed Clustering for Electrical Load Profiling

Mengshuo Jia, Yi Wang, Chen Shen +1

Electrical load profiling supports retailers and distribution network operators in having a better understanding of the consumption behavior of consumers. However, traditional clus…

eess.SY2019

Distributed Generalized Nash Equilibrium Seeking for Energy Sharing Games

Zhaojian Wang, Feng Liu, Zhiyuan Ma +4

With the proliferation of distributed generators and energy storage systems, traditional passive consumers in power systems have been gradually evolving into the so-called "prosume…

eess.SY2019

A Distributed Incremental Update Scheme for Probability Distribution of Wind Power Forecast Error

Mengshuo Jia, Chen Shen, Zhaojian Wang

Due to the uncertainty of distributed wind generations (DWGs), a better understanding of the probability distributions (PD) of their wind power forecast errors (WPFEs) can help mar…