activity
20232026
most citedExploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector

137 citations · 140 across the 5 of their papers we have counts for

collaborators

7 papers

eess.SY2026

Duration-Aware Ramp Adequacy Screening

Qian Zhang, Aidan Looney, Chao Tian +2

Ramp products are widely used in regional electricity markets to procure intertemporal flexibility in anticipation of net demand changes. However, the design of such ramp products…

cs.CE2025

Expected Revenue, Risk, and Grid Impact of Bitcoin Mining: A Decision-Theoretic Perspective

Yuting Cai, Ruthav Sadali, Korok Ray +1

Most current assessments use ex post proxies that miss uncertainty and fail to consistently capture the rapid change in bitcoin mining. We introduce a unified, ex ante statistical…

cs.LG2025

Fréchet Power-Scenario Distance: A Metric for Evaluating Generative AI Models across Multiple Time-Scales in Smart Grids

Yuting Cai, Shaohuai Liu, Chao Tian +1

Generative artificial intelligence (AI) models in smart grids have advanced significantly in recent years due to their ability to generate large amounts of synthetic data, which wo…

eess.SY2025★ 1 cited

Unlocking Multi-Task Electric Energy System Intelligence: Data Scaling Laws and Performance with Limited Fine-Tuning

Shaohuai Liu, Lin Dong, Chao Tian +1

Data scaling has revolutionized research fields like natural language processing, computer vision, and robotics control, providing foundation models with remarkable multi-task and…

eess.SY2024★ 1 cited

Predicting DC-Link Capacitor Current Ripple in AC-DC Rectifier Circuits Using Fine-Tuned Large Language Models

Mohamed Zeid, Subir Majumder, Hasan Ibrahim +3

Foundational Large Language Models (LLMs) such as GPT-3.5-turbo allow users to refine the model based on newer information, known as ``fine-tuning''. This paper leverages this abil…

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.SY2023★ 1 cited

Optimization of Cryptocurrency Miners' Participation in Ancillary Service Markets

Ali Menati, Yuting Cai, Rayan El Helou +2

Proof-of-work computation used in cryptocurrencies has witnessed significant growth in the U.S. and many other regions around the world. One of the most significant bottlenecks for…