Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Xie, Le"'
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 ability to analyze AC-DC converter behaviors, focusing on the ripple current i
Externí odkaz:
http://arxiv.org/abs/2407.01724
Due to the availability of more comprehensive measurement data in modern power systems, there has been significant interest in developing and applying reinforcement learning (RL) methods for operation and control. Conventional RL training is based on
Externí odkaz:
http://arxiv.org/abs/2407.00304
Autor:
Xie, Le, Majumder, Subir, Huang, Tong, Zhang, Qian, Chang, Ping, Hill, David J., Shahidehpour, Mohammad
Addressing the urgency of climate change necessitates a coordinated and inclusive effort from all relevant stakeholders. Critical to this effort is the modeling, analysis, control, and integration of technological innovations within the electric ener
Externí odkaz:
http://arxiv.org/abs/2406.17976
We study the scenario approach for solving chance-constrained optimization in time-coupled dynamic environments. Scenario generation methods approximate the true feasible region from scenarios generated independently and identically from the actual d
Externí odkaz:
http://arxiv.org/abs/2404.00608
Autor:
Majumder, Subir, Dong, Lin, Doudi, Fatemeh, Cai, Yuting, Tian, Chao, Kalathi, Dileep, Ding, Kevin, Thatte, Anupam A., Li, Na, Xie, Le
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. While there has been great enthusiasm towards adopting such foundational
Externí odkaz:
http://arxiv.org/abs/2403.09125
This paper addresses the problem of Neural Network (NN) based adaptive stability certification in a dynamical system. The state-of-the-art methods, such as Neural Lyapunov Functions (NLFs), use NN-based formulations to assess the stability of a non-l
Externí odkaz:
http://arxiv.org/abs/2312.15340
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. The load model has been built using Electromagnetic Transie
Externí odkaz:
http://arxiv.org/abs/2312.15067
Distribution system end users are transforming from passive to active participants, marked by the push towards widespread adoption of edge-level Distributed Energy Resources (DERs). This paper addresses the challenges in distribution system planning
Externí odkaz:
http://arxiv.org/abs/2312.06154
Scenario generation is an effective data-driven method for solving chance-constrained optimization while ensuring desired risk guarantees with a finite number of samples. Crucial challenges in deploying this technique in the real world arise due to t
Externí odkaz:
http://arxiv.org/abs/2311.02250
With the increasing amount of distributed energy resources (DERs) integration, there is a significant need to model and analyze hosting capacity (HC) for future electric distribution grids. Hosting capacity analysis (HCA) examines the amount of DERs
Externí odkaz:
http://arxiv.org/abs/2305.07818