activity
20182023
most citedHigh Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price

4 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023★ 1 cited

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

Kiyeob Lee, Peng Zhao, Anirban Bhattacharya +2

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 distributi…

physics.ao-ph2023

Impact of Climate Simulation Resolutions on Future Energy System Reliability Assessment: A Texas Case Study

Xiangtian Zheng, Le Xie, Kiyeob Lee +3

The reliability of energy systems is strongly influenced by the prevailing climate conditions. With the increasing prevalence of renewable energy sources, the interdependence betwe…

cs.CY2022★ 4 cited

High Resolution Modeling and Analysis of Cryptocurrency Mining's Impact on Power Grids: Carbon Footprint, Reliability, and Electricity Price

Ali Menati, Xiangtian Zheng, Kiyeob Lee +4

Blockchain technologies are considered one of the most disruptive innovations of the last decade, enabling secure decentralized trust-building. However, in recent years, with the r…

eess.SY2022★ 3 cited

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

Ali Menati, Kiyeob Lee, Le Xie

The electricity sector is facing the dual challenge of supporting increasing level of demand electrification while substantially reducing its carbon footprint. Among electricity de…

cs.AI2022★ 1 cited

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

Rayan El Helou, Kiyeob Lee, Dongqi Wu +3

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 intelli…

math.OC2020★ 1 cited

Reinforcement Learning for Mean Field Games with Strategic Complementarities

Kiyeob Lee, Desik Rengarajan, Dileep Kalathil +1

Mean Field Games (MFG) are the class of games with a very large number of agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms for learning MFE…

cs.NI2018★ 2 cited

FlowBazaar: A Market-Mediated Software Defined Communications Ecosystem at the Wireless Edge

Rajarshi Bhattacharyya, Bainan Xia, Desik Rengarajan +2

The predominant use of wireless access networks is for media streaming applications, which are only gaining popularity as ever more devices become available for this purpose. Howev…