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Sakshi Mishra

Researcher II-Model Engineering | 303-275-4749

Sakshi is an energy researcher and power systems engineer. She is interested in working on nexus of distributed renewable energy  integration with application of artificial intelligence in energy domain. At NREL, she is working on the REopt Lite application programming interface and REopt modeling. REopt is a techno-economic optimization model focused on integration and optimization of distributed energy resources. Sakshi also part of NREL's Intelligent Campus project, where her focus is on developing predictive analytics applications.

Research Interests

Integration and optimization of distributed energy resources

Predictive analysis in energy domain

Energy storage + electric vehicle modeling and optimization


Master's degree in Energy, Science, Technology, and Policy with power systems focus – Carnegie Mellon University, Pittsburgh, PA

Professional Certificate, Energy Innovation, and Emerging Technologies – Stanford University

B. Tech in Electrical and Electronics Engineering – VIT University, Chennai, India

Featured Publications

"Chapter 6 - Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC Model," Science Direct (2018)

"12. Optimal SVC Allocation in Power Systems for Loss Minimization and Voltage Deviation Reduction," Sustainable Independent Networks, Springer (2018)

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network, IEEE Energy Conversion Congress & Expo (2018)

Efficient Power Flow Management and Peak Shaving in a Microgrid-PV System, IEEE Energy Conversion Congress & Expo (2018)

Distributed Security Constrained Economic Dispatch, IEEE Innovative Smart Grid Technologies – Asia (ISGT ASIA) (2014)