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

6 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis

Alban Puech, Matteo Mazzonelli, Tamara R. Govindasamy +19

Foundation models are transforming business workflows and boosting productivity, yet they remain largely absent from engineering domains such as power system analysis, where strict…

eess.SY2024

A Proportional-Integral Model for Fractional Voltage Tripping of Distributed Energy Resources

Milos Katanic, Gregor Verbic, John Lygeros +1

In regions with high shares of distributed energy resources (DERs), massive disconnection of small-scale DERs in low-voltage distribution grids during disturbances poses a serious…

cs.CL2024★ 1 cited

Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework

Mengshuo Jia, Zeyu Cui, Gabriela Hug

The integration of experimental technologies with large language models (LLMs) is transforming scientific research. It positions AI as a versatile research assistant rather than a…

cs.LG2024

Data-driven Power Flow Linearization: Theory

Mengshuo Jia, Gabriela Hug, Ning Zhang +3

This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accur…

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.SY2024

Generalized Vector Locus Transformation for Unbalanced Three-Phase Systems

Maitraya Avadhut Desai, Francisco Escobar, Gabriela Hug

Coordinate transformations significantly simplify power systems computations. Most notably, the classical Clarke and transformations are widely used in three-phase systems, a…