24 citations · 76 across the 58 of their papers we have counts for
8 papers · 1 filter
Contributions of Individual Generators to Nodal Carbon Emissions
Yize Chen, Deepjyoti Deka, Yuanyuan Shi
Recent shifts toward sustainable energy systems have witnessed the fast deployment of carbon-free and carbon-efficient generations across the power networks. However, the benefits…
Fairly Extreme: Minimizing Outages Equitably
Kaarthik Sundar, Deepjyoti Deka, Russell Bent
This paper focuses on the problem of minimizing the outages due to extreme events on the power grid equitably among all customers of the grid. The paper presents two ways of incorp…
Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies
Parikshit Pareek, Deepjyoti Deka, Sidhant Misra
This work presents an efficient data-driven method to construct probabilistic voltage envelopes (PVE) using power flow learning in grids with network contingencies. First, a networ…
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
Mishfad Shaikh Veedu, Deepjyoti Deka, Murti V. Salapaka
In this article, the optimal sample complexity of learning the underlying interactions or dependencies of a Linear Dynamical System (LDS) over a Directed Acyclic Graph (DAG) is stu…
Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
Parikshit Pareek, Sidhant Misra, Deepjyoti Deka
The absence of formal performance guarantees in machine learning (ML) has limited its adoption for safety-critical power system applications, where confidence and interpretability…
Mitigating the Impact of Uncertain Wildfire Risk on Power Grids through Topology Control
Yuqi Zhou, Kaarthik Sundar, Deepjyoti Deka +1
Wildfires pose a significant threat to the safe and reliable operations of the electric grid. To mitigate wildfire risk, system operators resort to public safety power shutoffs, or…