137 citations · 140 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…