Search Results for author: S. Sivaranjani

Found 5 papers, 2 papers with code

Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems

no code implementations15 Jul 2022 Amit Jena, Tong Huang, S. Sivaranjani, Dileep Kalathil, Le Xie

One standard approach to estimate the stability region of a general nonlinear system is to first find a Lyapunov function for the system and characterize its region of attraction as the stability region.

Distributed Optimization

The Impact of Heavy-Duty Vehicle Electrification on Large Power Grids: a Synthetic Texas Case Study

no code implementations8 Mar 2022 Rayan El Helou, S. Sivaranjani, Dileep Kalathil, Andrew Schaper, Le Xie

In fact, we find that as little as 11% of heavy duty vehicles in Texas charging simultaneously can lead to significant voltage violations on the transmission network that compromise grid reliability.

A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids

1 code implementation12 Oct 2021 Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie

The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change.

Time Series

Safety during Transient Response in Direct Current Microgrids using Control Barrier Functions

no code implementations4 Feb 2021 K. C. Kosaraju, S. Sivaranjani, V. Gupta

To achieve this, we propose an optimization based controller design using control barrier functions.

Tracking and Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector

1 code implementation11 May 2020 Guangchun Ruan, Dongqi Wu, Xiangtian Zheng, S. Sivaranjani, Le Xie, Haiwang Zhong, Chongqing Kang

The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U. S. becoming the epicenter of COVID-19 cases and deaths in late March.

Computers and Society

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