activity
20152024
most citedExploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector

137 citations · 149 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2024★ 137 cited

Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector

Subir Majumder, Lin Dong, Fatemeh Doudi +7

Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing as well as in a wide range of tasks. Wh…

eess.SY2022

On an Information and Control Architecture for Future Electric Energy Systems

Le Xie, Tong Huang, P. R. Kumar +2

This paper presents considerations towards an information and control architecture for future electric energy systems driven by massive changes resulting from the societal goals of…

stat.AP2021★ 8 cited

Scenario Generation of Wind Farm Power for Real-Time System Operation

Trevor Werho, Junshan Zhang, Vijay Vittal +3

This work proposes a method of wind farm scenario generation to support real-time optimization tools and presents key findings therein. This work draws upon work from the literatur…

eess.SY2020

A Smart Meter Data-driven Distribution Utility Rate Model for Networks with Prosumers

Athindra Venkatraman, Anupam Thatte, Le Xie

Distribution grids across the world are undergoing profound changes due to advances in energy technologies. Electrification of the transportation sector and the integration of Dist…

eess.SY2015★ 4 cited

A Theory for the Operation of the Independent System Operator in a Smart Grid with Stochastic Renewables, Demand Response and Storage

Rahul Singh, Ke Ma, Anupam Thatte +2

In this paper, we address a key issue of designing architectures and algorithms which generate optimal demand response in a decentralized manner for a smart-grid consisting of seve…