An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems

no code implementations • 13 May 2023 • Kiyeob Lee, Peng Zhao, Anirban Bhattacharya, Bani K. Mallick, Le Xie

Hosting capacity analysis (HCA) examines the amount of DERs that can be safely integrated into the grid and is a challenging task in full generality because there are many possible integration of DERs in foresight.

Active Learning

Modeling and Analysis of Utilizing Cryptocurrency Mining for Demand Flexibility in Electric Energy Systems: A Synthetic Texas Grid Case Study

no code implementations • 6 Jul 2022 • Ali Menati, Kiyeob Lee, Le Xie

We perform our simulations using a synthetic 2000 bus ERCOT grid model, along with added cryptocurrency mining loads on top of the real-world demand profiles in Texas.

OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation

1 code implementation • 6 Mar 2022 • Rayan El Helou, Kiyeob Lee, Dongqi Wu, Le Xie, Srinivas Shakkottai, Vijay Subramanian

This paper presents OpenGridGym, an open-source Python-based package that allows for seamless integration of distribution market simulation with state-of-the-art artificial intelligence (AI) decision-making algorithms.

Decision Making

Reinforcement Learning for Mean Field Games with Strategic Complementarities

no code implementations • 21 Jun 2020 • Kiyeob Lee, Desik Rengarajan, Dileep Kalathil, Srinivas Shakkottai

We introduce a natural refinement to the equilibrium concept that we call Trembling-Hand-Perfect MFE (T-MFE), which allows agents to employ a measure of randomization while accounting for the impact of such randomization on their payoffs.

reinforcement-learning Reinforcement Learning (RL)