S
Sakshi Mishra
Researcher at National Renewable Energy Laboratory
Publications - 25
Citations - 298
Sakshi Mishra is an academic researcher from National Renewable Energy Laboratory. The author has contributed to research in topics: Distributed generation & Microgrid. The author has an hindex of 6, co-authored 22 publications receiving 183 citations. Previous affiliations of Sakshi Mishra include American Electric Power & Carnegie Mellon University.
Papers
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Journal ArticleDOI
Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies
TL;DR: A comprehensive review of threats, vulnerabilities, and mitigation strategies and a definition for microgrid resilience are provided and a methodology for designing resilient microgrids is developed.
Proceedings ArticleDOI
Multi-time-horizon Solar Forecasting Using Recurrent Neural Network
Sakshi Mishra,Palanisamy Praveen +1 more
TL;DR: In this paper, a unified architecture for multi-time-horizon predictions for short and long-term solar forecasting using Recurrent Neural Networks (RNNs) is proposed, and an end-to-end pipeline to implement the architecture along with methods to test and validate the performance of the prediction model.
Proceedings ArticleDOI
Distributed Security Constrained Economic Dispatch
TL;DR: In this article, the authors investigated two decomposition methods for their convergence rate which are used to solve security constrained economic dispatch (SCED): 1) Lagrangian Relaxation (LR) and 2) Augmented Lagrangians Relaxation(ALR) and showed that there is a tradeoff between the information privacy and the convergence rate.
Book ChapterDOI
Decomposition Methods for Distributed Optimal Power Flow: Panorama and Case Studies of the DC Model
M. Hadi Amini,Shahab Bahrami,Farhad Kamyab,Sakshi Mishra,Rupamathi Jaddivada,Kianoosh G. Boroojeni,Paul Weng,Yinliang Xu +7 more
TL;DR: This chapter focuses on distributed/decentralized approaches to solve the OPF problem in a power system and takes advantage of the widely used DC power flow formulation, which is a simplified power flow model with an acceptable approximation for transmission networks.
Proceedings ArticleDOI
Distributed security constrained economic dispatch
TL;DR: It has been found that ALR converges faster compared to LR, due to the large amount of shared data, and there is a tradeoff between the information privacy and the convergence rate.