24 citations · 37 across the 14 of their papers we have counts for
14 papers
Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
Sarthak Chaturvedi, Anurag Acharya, Rounak Meyur +3
Evaluation benchmark characteristics may distort the true benefits of domain adaptation in retrieval models. This creates misleading assessments that influence deployment decisions…
Cyber Knowledge Completion Using Large Language Models
Braden K Webb, Sumit Purohit, Rounak Meyur
The integration of the Internet of Things (IoT) into Cyber-Physical Systems (CPSs) has expanded their cyber-attack surface, introducing new and sophisticated threats with potential…
CAMEO:A Co-design Architecture for Multi-objective Energy System Optimization
Rounak Meyur, Tonya Martin, Sumit Purohit
Co-design plays a pivotal role in energy system planning as it allows for the holistic optimization of interconnected components, fostering efficiency, resilience, and sustainabili…
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain
Rounak Meyur, Hung Phan, Sridevi Wagle +5
Wind energy project assessments present significant challenges for decision-makers, who must navigate and synthesize hundreds of pages of environmental and scientific documentation…
Strengthening Infrastructure Resilience to Hurricanes by Modeling Transportation and Electric Power Network Interdependencies
Tasnuba Binte Jamal, Samiul Hasan, Omar I. Abdul-Aziz +2
This study presents an agent-based model (ABM) developed to simulate the resilience of a community to hurricane-induced infrastructure disruptions, focusing on the interdependencie…
Hy-DAT: A Tool to Address Hydropower Modeling Gaps Using Interdependency, Efficiency Curves, and Unit Dispatch Models
Dewei Wang, Bhaskar Mitra, Sameer Nekkalapu +5
As the power system continues to be flooded with intermittent resources, it becomes more important to accurately assess the role of hydro and its impact on the power grid. While hy…
Structural Validation Of Synthetic Power Distribution Networks Using The Multiscale Flat Norm
Kostiantyn Lyman, Rounak Meyur, Bala Krishnamoorthy +1
We study the problem of comparing a pair of geometric networks that may not be similarly defined, i.e., when they do not have one-to-one correspondences between their nodes and edg…
Fortify Your Defenses: Strategic Budget Allocation to Enhance Power Grid Cybersecurity
Rounak Meyur, Sumit Purohit, Braden K. Webb
The abundance of cyber-physical components in modern day power grid with their diverse hardware and software vulnerabilities has made it difficult to protect them from advanced per…
Cascading Failures in Power Grids
Rounak Meyur
This paper studies the consequences of a human-initiated targeted attack on the national electric power system. We consider two kinds of attacks: () an attack by an adversary th…
Ensembles of Realistic Power Distribution Networks
Rounak Meyur, Anil Vullikanti, Samarth Swarup +5
The power grid is going through significant changes with the introduction of renewable energy sources and incorporation of smart grid technologies. These rapid advancements necessi…
A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles
Rounak Meyur, Swapna Thorve, Madhav Marathe +3
Residential consumers have become active participants in the power distribution network after being equipped with residential EV charging provisions. This creates a challenge for t…
Fault location in High Voltage Multi-terminal dc Networks Using Ensemble Learning
Timothy Flavin, Bhaskar Mitra, Vidhyashree Nagaraju +1
Precise location of faults for large distance power transmission networks is essential for faster repair and restoration process. High Voltage direct current (HVdc) networks using…
Creating Realistic Power Distribution Networks using Interdependent Road Infrastructure
Rounak Meyur, Madhav Marathe, Anil Vullikanti +3
It is well known that physical interdependencies exist between networked civil infrastructures such as transportation and power system networks. In order to analyze complex nonline…
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems
Shuchismita Biswas, Rounak Meyur, Virgilio Centeno
Frequently recurring transient faults in a transmission network may be indicative of impending permanent failures. Hence, determining their location is a critical task. This paper…