no code implementations • 21 Aug 2024 • Subir Majumder, Ignacio Aravena, Le Xie
As the scale of these firms is likely to surge in future years, the developed electricity consumption model can be used to generate public, synthetic datasets to understand the overall impact on the power grid.
no code implementations • 1 Jul 2024 • Mohamed Zeid, Subir Majumder, Hasan Ibrahim, Prasad Enjeti, Le Xie, Chao Tian
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''.
no code implementations • 25 Jun 2024 • Le Xie, Subir Majumder, Tong Huang, Qian Zhang, Ping Chang, David J. Hill, Mohammad Shahidehpour
Addressing the urgency of climate change necessitates a coordinated and inclusive effort from all relevant stakeholders.
no code implementations • 14 Mar 2024 • Subir Majumder, Lin Dong, Fatemeh Doudi, Yuting Cai, Chao Tian, Dileep Kalathi, Kevin Ding, Anupam A. Thatte, Na Li, Le Xie
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.
no code implementations • 22 Dec 2023 • Anindita Samanta, Subir Majumder, Hasan Ibrahim, Prasad Enjeti, Le Xie
In this paper, we developed an Electromagnetic Transient (EMT) model tailored for large cryptocurrency mining loads to understand the cross-interaction of these loads with the electric grid.
1 code implementation • 23 Feb 2023 • Steven Knudsen, Subir Majumder, Anurag K. Srivastava
The proposed infrastructure would (i) increase the resilience of the customers in case the utility grid becomes unavailable, (ii) reduce AC/DC conversion losses since a majority of the DER generation is in DC, and (iii) with the help of BESS, the customers will have a lesser impact on the utility grid in terms of California 'duck curve.'
no code implementations • 12 Jul 2021 • Salah U. Kadir, Subir Majumder, Ajay D. Chhokra, Abhishek Dubey, Himanshu Neema, Aron Laszka, Anurag K. Srivastava
We model and solve the proactive control problem as a Markov decision process and introduce an integrated testbed for spatio-temporal wildfire propagation and proactive power-system operation.