activity
20152022
most citedMicrogrid Resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies

234 citations · 464 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2022★ 6 cited

Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy

Mehrnaz Sabet, Praveen Palanisamy, Sakshi Mishra

One major barrier to advancing aerial autonomy has been collecting large-scale aerial datasets for training machine learning models. Due to costly and time-consuming real-world dat…

cs.DC2021★ 1 cited

Towards Harmonious Decentralization of Energy Systems: A Vision of Interoperable Peer-to-Peer Energy Markets

Sakshi Mishra, Roohallah Khatami, Yu Christine Chen

We present a hierarchical framework aimed at decentralizing the distribution systems market operations using localized peer-to-peer energy markets. Hierarchically designed decision…

eess.SY2021★ 19 cited

Microgrid Resilience: A Holistic and Context-Aware Resilience Metric

Sakshi Mishra, Ted Kwasnik, Kate Anderson

Microgrids present an effective solution for the coordinated deployment of various distributed energy resources and furthermore provide myriad additional benefits such as resilienc…

cs.OH2020★ 21 cited

Computational Framework for Behind-The-Meter DER Techno-Economic Modeling and Optimization -- REopt Lite

Sakshi Mishra, Josiah Pohl, Nick Laws +7

The global energy system is undergoing a major transformation. Renewable energy generation is growing and is projected to accelerate further with the global emphasis on decarboniza…

eess.SP2020★ 2 cited

Deep-Learning-Based, Multi-Timescale Load Forecasting in Buildings: Opportunities and Challenges from Research to Deployment

Sakshi Mishra, Stephen M. Frank, Anya Petersen +2

Electricity load forecasting for buildings and campuses is becoming increasingly important as the penetration of distributed energy resources (DERs) grows. Efficient operation and…

eess.SY2020★ 9 cited

Probabilistic Resilience of DER systems -- A Simulation Assisted Optimization Approach

Sakshi Mishra, Kate Anderson

Energy systems resilience is becoming increasingly important as the frequency of major grid outages increases. In this work, we present a methodology to optimize a behind-the-meter…

cs.CY2020★ 32 cited

A Unified Architecture for Data-Driven Metadata Tagging of Building Automation Systems

Sakshi Mishra, Andrew Glaws, Dylan Cutler +4

This article presents a Unified Architecture for automated point tagging of Building Automation System data, based on a combination of data-driven approaches. Advanced energy analy…

eess.SY2019★ 234 cited

Microgrid Resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies

Sakshi Mishra, Kate Anderson, Brian Miller +2

Microgrids are being increasing deployed to improve the operational flexibility, resilience, coordinated-energy management capabilities, self-adequacy, and increased reliability of…

eess.SY2019★ 18 cited

Evaluation of Centralized and Distributed Microgrid Topologies Considering Power Quality Constraints

Hallie Dunham, Dylan Cutler, Sakshi Mishra +1

Integration of renewable generation and energy storage technologies with conventional generation supports increased resilience, lower-costs, and clean energy goals. Traditionally,…

cs.LG2019★ 12 cited

An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning

Sakshi Mishra, Praveen Palanisamy

For short-term solar irradiance forecasting, the traditional point forecasting methods are rendered less useful due to the non-stationary characteristic of solar power. The amount…

eess.SY2018★ 18 cited

Efficient Power Flow Management and Peak Shaving in a Microgrid-PV System

Sakshi Mishra, Praveen Palanisamy

With the increasing penetration of the roof-top solar PV and the rising interest in net-zero energy homes concept, there is a need of balancing the performance of intelligent contr…

cs.LG2018★ 54 cited

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network

Sakshi Mishra, Praveen Palanisamy

The non-stationarity characteristic of the solar power renders traditional point forecasting methods to be less useful due to large prediction errors. This results in increased unc…

eess.SY2015★ 38 cited

Distributed Security Constrained Economic Dispatch

M. Hadi Amini, R. Jaddivada, S. Mishra +1

In this paper, we investigate two decomposition methods for their convergence rate which are used to solve security constrained economic dispatch (SCED): 1) Lagrangian Relaxation (…