Govind Saraswat

Govind Saraswat

Researcher III-Electrical Engineering


303-275-4128
Google Scholar

Govind Saraswat currently works as a researcher at NREL where his research includes power system modeling and analysis, measurement-based operation and control, machine learning, and optimization. Saraswat is developing scalable load forecasting and system identification algorithms for power systems with high penetration of distributed energy sources (like solar and wind), as well as remote sensing, estimation, and forecasting for solar and wind energy resources.

Before joining this position, Saraswat worked as a postdoctoral associate and applied analytical skills to build algorithms and models to modernize the U.S. grid. He works on challenges that the grid faces with increased penetration of renewable energies like solar and wind power. His expertise lies in data-driven technology for energy systems planning and operation, control system design, system characterization, instrumentation, signal processing, VLSI and hardware design, power hardware-in-the-loop experimentation, and reliability engineering.

Education

Ph.D., Electrical Engineering, University of Minnesota

B.Tech., Electrical Engineering, Indian Institute of Technology – Delhi

Professional Experience

Researcher III, NREL (2019–Present)

Postdoctoral Associate, University of Minnesota, Twin Cities (2018–2019)

Senior Software Engineer, Xilinx Inc. (2017–2018)

Senior Hardware Engineer, Oracle (Sun Microsystems) (2014–2017)

Associations and Memberships

Member, Institute of Electrical and Electronics Engineers (IEEE)

Featured Work

Analyzing the Effects of Cyberattacks on Distribution System State Estimation, IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (2021)

High-Frequency, Multiclass Nonintrusive Load Monitoring for Grid-Interactive Residential Buildings, IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (2020)

Gradient-Consensus Method for Distributed Optimization in Directed Multi-Agent Networks, IEEE American Control Conference (2020)

On the Geometry of Consensus Algorithms with Application to Distributed Termination in Higher Dimension, International Federation of Automatic Control (2020)

Model Detection With Application to Probe Based Data Storage, Automatica (2016)

On Control of Transport in Brownian Ratchet Mechanisms, Journal of Process Control (2014)

On Contribution and Detection of Higher Eigenmodes During Dynamic Atomic Force Microscopy, Applied Physics Letters (2013)

Real-Time Probe-based Quantitative Determination of Material Properties at the Nanoscale, Nanotechnology (2013)

Compact Surface Potential Model for FD SOI MOSFET Considering Substrate Depletion Region, IEEE Transactions on Electron Devices (2007)

Patents

Method and System for Determining Circuit Failure Rate, U.S. Patent No. 10282507 (2019)