Sivasathya Pradha Balamurugan

Sivasathya Pradha Balamurugan

Researcher III-Cyber Security & Resilience


303-275-3883
Orcid ID https://orcid.org/0000-0003-0241-1316

Sivasathya is a cybersecurity researcher in the Cyber System Assessment group in the energy security and resiliency center at NREL. She has been at NREL since 2017 and contributed to the development of software tools such as CyberRange, foresee and R&D efforts in the field of grid-interactive buildings, smart grid, cyber-physical systems, energy blockchain, and controls and optimization.

Research Interests

foresee™

Energy Blockchain

Education

M.S., Computer and Information Sciences, University at Buffalo, SUNY

B.E., Electrical, Electronic and Communications Engineering, Anna University

Featured Work

Assessing the Impact of Cybersecurity Attacks on Energy Systems, Applied Energy (2023)

Community-Scale Interaction of Energy Efficiency and Demand Flexibility in Residential Buildings, Applied Energy (2023)

OCHRE: The Object-Oriented, Controllable, High-Resolution Residential Energy Model for Dynamic Integration Studies, Applied Energy (2021)

Cosimulation of Transactive Energy Markets: A Framework for Market Testing and Evaluation, International Journal of Electric Power & Energy Systems (2021)

A Network-Aware Distributed Energy Resource Aggregation Framework for Flexible, Cost-Optimal, and Resilient Operation, IEEE Transactions on Smart Grid (2021)

Incorporating Residential Smart EV Charging in Home Energy Management Systems, IEEE Green Technologies (2021)

A Blockchain Based Cosimulation Framework for Integrating Distributed Energy Resources to Wholesale Electricity Markets, IEEE Power and Energy Society General Meeting (2022)

A Unified Testing Platform to Mature Blockchain Applications for Grid Emulation Environments, IEEE PES Transactive Energy Systems Conference (2022)

A Demonstration of Blockchain-Based Energy Transactions between Laboratory Test Homes, ACEEE Summer study (2018)

Zero Export Feeder Through Transactive Markets, NREL Technical Report (2022)

Awards and Honors

R&D 100 award for the most exceptionally innovative technology of the year in IT for foresee software (2017)


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