activity
20172025
most citedA critical review of cyber-physical security for building automation systems

68 citations · 116 across the 14 of their papers we have counts for

collaborators

15 papers

eess.SY2025

Operational Risks in Grid Integration of Large Data Center Loads: Characteristics, Stability Assessments, and Sensitivity Studies

Kyung-Bin Kwon, Sayak Mukherjee, Veronica Adetola

This paper investigates the dynamic interactions between large-scale data centers and the power grid, focusing on reliability challenges arising from sudden fluctuations in demand.…

eess.SY2025

Managing Risks from Large Digital Loads Using Coordinated Grid-Forming Storage Network

Soumya Kundu, Kaustav Chatterjee, Ramij R. Hossain +2

Anticipated rapid growth of large digital load, driven by artificial intelligence (AI) data centers, is poised to increase uncertainty and large fluctuations in consumption, threat…

eess.SY2024

Empowering the Grid: Decentralized Autonomous Control for Effective Utilization and Resilience

Sai Pushpak Nandanoori, Alok Kumar Bharati, Subhrajit Sinha +3

With the emergence of low-inertia microgrids powered by inverter-based generation, there remains a concern about the operational resilience of these systems. Grid-forming inverters…

eess.SY2024★ 3 cited

Multi-Objective Control Co-design Using Graph-Based Optimization for Offshore Wind Farm Grid Integration

Himanshu Sharma, Wei Wang, Bowen Huang +2

Offshore wind farms have emerged as a popular renewable energy source that can generate substantial electric power with a low environmental impact. However, integrating these farms…

eess.SY2024

Configuration and EMT Simulation of the 240-bus MiniWECC System Integrating Offshore Wind Farms (OWFs)

Buxin She, Hisham Mahmood, Marcelo Elizondo +2

As offshore wind farms (OWFs) become increasingly prevalent in Northern California and Southern Oregon, they introduce faster dynamics into the Western Electricity Coordinating Cou…

eess.SY2023★ 30 cited

Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed Validations

Sayak Mukherjee, Ramij R. Hossain, Sheik M. Mohiuddin +7

Improving system-level resiliency of networked microgrids is an important aspect with increased population of inverter-based resources (IBRs). This paper (1) presents resilient con…

cs.LG2022★ 10 cited

Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning

Sayak Mukherjee, Ramij R. Hossain, Yuan Liu +6

This paper presents a novel federated reinforcement learning (Fed-RL) methodology to enhance the cyber resiliency of networked microgrids. We formulate a resilient reinforcement le…

math.OC2022

Improved microgrid resiliency through distributionally robust optimization under a policy-mode framework

Nawaf Nazir, Thiagarajan Ramachandaran, Soumya Kundu +1

Critical energy infrastructure are constantly understress due to the ever increasing disruptions caused by wildfires, hurricanes, other weather related extreme events and cyber-att…

cs.CR2022★ 68 cited

A critical review of cyber-physical security for building automation systems

Guowen Li, Lingyu Ren, Yangyang Fu +7

Modern Building Automation Systems (BASs), as the brain that enables the smartness of a smart building, often require increased connectivity both among system components as well as…

eess.SY2022

Resilient Communication Scheme for Distributed Decision of InterconnectingNetworks of Microgrids

Thanh Long Vu, Sayak Mukherjee, Veronica Adetola

Networking of microgrids can provide the operational flexibility needed for the increasing number of DERs deployed at the distribution level and supporting end-use demand when ther…

eess.SY2022

Optimization-Based Resiliency Verification in Microgrids via Maximal Adversarial Set Characterization

Nawaf Nazir, Thiagarajan Ramachandran, Saptarshi Bhattacharya +3

Critical energy infrastructures are increasingly relying on advanced sensing and control technologies for efficient and optimal utilization of flexible energy resources. Algorithmi…

cs.LG2021★ 2 cited

Developing and Validating Semi-Markov Occupancy Generative Models: A Technical Report

Soumya Kundu, Saptarshi Bhattacharya, Himanshu Sharma +1

This report documents recent technical work on developing and validating stochastic occupancy models in commercial buildings, performed by the Pacific Northwest National Laboratory…

eess.SY2021

Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads

Milan Jain, Soumya Kundu, Arnab Bhattacharya +5

For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for gri…

eess.SY2021

A Secure Learning Control Strategy via Dynamic Camouflaging for Unknown Dynamical Systems under Attacks

Sayak Mukherjee, Veronica Adetola

This paper presents a secure reinforcement learning (RL) based control method for unknown linear time-invariant cyber-physical systems (CPSs) that are subjected to compositional at…

math.OC2017★ 3 cited

Sparse Output Feedback Synthesis via Proximal Alternating Linearization Method

Fu Lin, Veronica Adetola

We consider the co-design problem of sparse output feedback and row/column-sparse output matrix. A row-sparse (resp. column-sparse) output matrix implies a small number of outputs…