Showing eess.SYShow all
3 papers · 1 filter
eess.SY2025
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
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
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…