Publications

A simple list of publications, arranged chronologically within each section.

Pre-Prints

2024

  1. Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage
    Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, and Sidhant Misra
    arXiv preprint arXiv:2402.08617, 2024

2023

  1. Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes
    Parikshit Pareek, Deepjyoti Deka, and Sidhant Misra
    arXiv preprint arXiv:2308.07867, 2023

Journal Papers & A* Conferences

2025

  1. Optimization Proxies using Limited Labeled Data and Training Time–A Semi-Supervised Bayesian Neural Network Approach
    Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, and Deepjyoti Deka
    Forty-Second International Conference on Machine Learning (ICML), 2025
  2. Data-Efficient Power Flow Learning for Network Contingencies
    Parikshit Pareek, Sidhant Misra, and Deepjyoti Deka
    Sustainable Energy, Grids and Networks, Accepted, 2025

2024

  1. Convexified Flexibility Area Identification at TSO-DSO Interface
    Sonam Mittal, Parikshit Pareek, and Ashu Verma
    IEEE Transactions on Industry Applications, 2024
  2. Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation
    Parikshit Pareek, L. P. Mohasha Isuru Sampath, Anshuman Singh, Lalit Goel, H. B. Gooi, and 1 more author
    Energy, 2024
  3. Distribution line parameters estimation framework with correlated injections using smart meter measurements
    Sonam Mittal, Parikshit Pareek, and Ashu Verma
    Electric Power Systems Research, 2024
  4. A Stress-Cognizant Optimal Battery Dispatch Framework for Multimarket Participation
    Anshuman Singh, Parikshit Pareek, Lahanda Purage Mohasha Isuru Sampath, Lalit Goel, H. B. Gooi, and 1 more author
    IEEE Transactions on Industrial Informatics, 2024

2023

  1. Locating Critical Prosumers in P2P Dominant Grids using State-Sensitivity Function
    Parikshit Pareek, LP Mohasha Isuru Sampath, Hung D. Nguyen, and Eddy YS Foo
    IEEE Transactions on Smart Grid, 2023

2022

  1. A robust day-ahead scheduling strategy for EV charging stations in unbalanced distribution grid
    Bakul Kandpal, Parikshit Pareek, and Ashu Verma
    Energy, 2022
  2. Non-parametric Joint Chance-Constrained OPF via Maximum Mean Discrepancy Penalization
    Parikshit Pareek, and Hung D. Nguyen
    Electric Power Systems Research, 2022
  3. Scalable probabilistic optimal power flow for high renewables using lite polynomial chaos expansion
    Sel Ly, Parikshit Pareek, and Hung D. Nguyen
    IEEE Systems Journal, 2022

2021

  1. A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow
    Parikshit Pareek, and Hung D. Nguyen
    IEEE Transactions on Control of Network Systems, 2021
  2. A framework for analytical power flow solution using Gaussian process learning
    Parikshit Pareek, and Hung D. Nguyen
    IEEE Transactions on Sustainable Energy, 2021
  3. Non-parametric probabilistic load flow using Gaussian process learning
    Parikshit Pareek, Chuan Wang, and Hung D. Nguyen
    Physica D: Nonlinear Phenomena, 2021
  4. State-Aware Stochastic Optimal Power Flow
    Parikshit Pareek, and Hung D. Nguyen
    Sustainability, 2021

2020

  1. Probabilistic robust small-signal stability framework using Gaussian process learning
    Parikshit Pareek, and Hung D. Nguyen
    Electric Power Systems Research, 2020
  2. Optimal steady-state voltage control using Gaussian process learning
    Parikshit Pareek, Weng Yu, and Hung D. Nguyen
    IEEE Transactions on Industrial Informatics, 2020
  3. Gaussian process learning-based probabilistic optimal power flow
    Parikshit Pareek, and Hung D Nguyen
    IEEE Transactions on Power Systems, 2020

2019

  1. Closure on "Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon"
    Parikshit Pareek, and Ashu Verma
    IEEE Transactions on Power Systems, 2019

2018

  1. Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon
    Parikshit Pareek, and Ashu Verma
    IEEE Transactions on Power System, 2018

Conference Papers

2024

  1. Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data
    Parikshit Pareek, Kaarthik Sundar, Deepjyoti Deka, and Sidhant Misra
    In NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty, 2024
  2. A Convergence Predictor Model for Consensus-based Decentralised Energy Markets
    Eddy YS Foo, Parikshit Pareek, LP Mohasha Isuru Sampath, and Hung D. Nguyen
    In Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

2022

  1. Privacy-Preserving Feasibility Assessment for P2P Energy Trading and Storage Integration
    Parikshit Pareek, Anshuman Singh, LP Mohasha, Isuru Sampath, HB Gooi, and 1 more author
    In 2022 IEEE Power & Energy Society General Meeting (PESGM), 2022
  2. Assessment of Flexibility Region at TSO-DSO Interface with Dispatchable Resources
    Sonam Mittal, Parikshit Pareek, and Ashu Verma
    In 2022 22nd National Power Systems Conference (NPSC), 2022

2021

  1. Health-Focused Optimal Power Flow
    Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan, Souvik Dasgupta, Amit Gupta, and 1 more author
    In 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2021
  2. Probabilistic-based optimal storage placement and sizing enabling networked microgrid community
    Parikshit Pareek, Jiahang Xie, Yu Weng, Anshuman Singh, and Hung D. Nguyen
    In 2021 International Conference on Smart Energy Systems and Technologies (SEST), 2021

2020

  1. Price-Based Demand Response with Linear OPF
    Parikshit Pareek, Sumedha Sharma, and Ashu Verma
    In 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 2020

2019

  1. A sufficient condition for small-signal stability and construction of robust stability region
    Parikshit Pareek, Konstantin Turitsyn, Krishnamurthy Dvijotham, and Hung D. Nguyen
    In 2019 IEEE Power & Energy Society General Meeting (PESGM), 2019

2016

  1. Assessment of Fault Harmonics in Squirrel Cage Induction Motor
    Shashi Raj Kapoor, Parikshit Pareek, and Nishant Khandelwal
    In Second International Conference on Computational Intelligence & Communication Technology (CICT-2016), 2016
  2. Start-up transient current analysis for Squirrel Cage Induction Motor
    Nishant Khandelwal, Parikshit Pareek, and Shashi Raj Kapoor
    In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016
  3. A new approach for bearing fault analysis in Squirrel Cage Induction Motor
    Parikshit Pareek, Nishant Khandelwal, and Shashi Raj Kapoor
    In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016
  4. Real time standalone data acquisition system for environmental data
    Vasant Raj Mutha, Narendra Kumar, and Parikshit Pareek
    In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016

2014

  1. Bearing fault analysis by signal energy calculation based signal processing technique in squirrel cage induction motor
    Shashi Raj Kapoor, Nishant Khandelwal, and Parikshit Pareek
    In 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014), 2014

Thesis

2022

  1. Analytical Approximations and Decision-Making Techniques for Power Systems under Uncertainty
    Parikshit Pareek
    2022

2018

  1. Linear Optimal Power Flow Analysis and Applications
    Parikshit Pareek
    2018