Parikshit Pareek

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All published works
Action Title Year Authors
+ PDF Chat Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation 2024 Parikshit Pareek
L. P. Mohasha Isuru Sampath
Anshuman Singh
L. Goel
Hoay Beng Gooi
Hung D. Nguyen
+ PDF Chat Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach 2024 Parikshit Pareek
Kaarthik Sundar
Deepjyoti Deka
Sidhant Misra
+ PDF Chat A Convergence Predictor Model for Consensus-based Decentralised Energy Markets 2024 Eddy Y. S. Foo
Parikshit Pareek
L. P. Mohasha Isuru Sampath
Hung D. Nguyen
+ PDF Chat Demystifying Quantum Power Flow: Unveiling the Limits of Practical Quantum Advantage 2024 Parikshit Pareek
Abhijith Jayakumar
Carleton Coffrin
Sidhant Misra
+ Graph-Structured Kernel Design for Power Flow Learning using Gaussian Processes 2023 Parikshit Pareek
Deepjyoti Deka
Sidhant Misra
+ A Convergence Predictor Model for Consensus-based Decentralised Energy Markets 2023 Parikshit Pareek
L. P. Mohasha Isuru Sampath
Hung D. Nguyen
Eddy Y. S. Foo
+ Data-Efficient Power Flow Learning for Network Contingencies 2023 Parikshit Pareek
Deepjyoti Deka
Sidhant Misra
+ PDF Chat A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow 2021 Parikshit Pareek
Hung D. Nguyen
+ PDF Chat Non-parametric probabilistic load flow using Gaussian process learning 2021 Parikshit Pareek
Chuan Wang
Hung D. Nguyen
+ PDF Chat Health-Focused Optimal Power Flow 2021 Logesh Kumar
Parikshit Pareek
Sivakumar Nadarajan
Souvik Dasgupta
Amit Kumar Gupta
Hung D. Nguyen
+ Health-Focused Optimal Power Flow 2020 Logesh Kumar
Parikshit Pareek
Sivakumar Nadarajan
Souvik Dasgupta
Amit Kumar Gupta
Hung D. Nguyen
+ PDF Chat Gaussian Process Learning-Based Probabilistic Optimal Power Flow 2020 Parikshit Pareek
Hung D. Nguyen
+ PDF Chat Probabilistic robust small-signal stability framework using gaussian process learning 2020 Parikshit Pareek
Hung D. Nguyen
+ Gaussian Process Learning-based Probabilistic Optimal Power Flow. 2020 Parikshit Pareek
Hung D. Nguyen
+ Health-Focused Optimal Power Flow 2020 Logesh Kumar
Parikshit Pareek
Sivakumar Nadarajan
Souvik Dasgupta
Amit Gupta
Hung D. Nguyen
+ Gaussian Process Learning-based Probabilistic Optimal Power Flow 2020 Parikshit Pareek
Hung D. Nguyen
+ Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach. 2019 Parikshit Pareek
Hung D. Nguyen
+ Non-parametric Probabilistic Load Flow using Gaussian Process Learning 2019 Parikshit Pareek
Chuan Wang
Hung D. Nguyen
+ Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning 2019 Parikshit Pareek
Hung D. Nguyen
+ PDF Chat A Sufficient Condition for Small-Signal Stability and Construction of Robust Stability Region 2019 Parikshit Pareek
Konstantin Turitsyn
Krishnamurthy Dvijotham
Hung D. Nguyen
+ Non-parametric Probabilistic Load Flow using Gaussian Process Learning 2019 Parikshit Pareek
Chuan Wang
Hung Duc Nguyen
+ Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning 2019 Parikshit Pareek
Hung D. Nguyen
+ A Sufficient Condition for Small-Signal Stability and Construction of Robust Stability Region 2018 Parikshit Pareek
Konstantin Turitsyn
Krishnamurthy Dvijotham
Hung D. Nguyen
+ PDF Chat Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon 2018 Parikshit Pareek
Ashu Verma
+ Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon 2018 Parikshit Pareek
Ashu Verma
+ Computationally Efficient Day-Ahead OPF using Post-Optimal Analysis with Renewable and Load Uncertainties 2018 Parikshit Pareek
Ashu Verma
+ A Sufficient Condition for Small-Signal Stability and Construction of Robust Stability Region 2018 Parikshit Pareek
Konstantin Turitsyn
Krishnamurthy Dvijotham
Hung D. Nguyen
+ Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon 2018 Parikshit Pareek
Ashu Verma
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting 2012 Niranjan Srinivas
Andreas Krause
Sham M. Kakade
Matthias Seeger
4
+ Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study 2019 Chao Zhai
Hung D. Nguyen
4
+ PDF Chat Probabilistic robust small-signal stability framework using gaussian process learning 2020 Parikshit Pareek
Hung D. Nguyen
4
+ PDF Chat A Sufficient Condition for Small-Signal Stability and Construction of Robust Stability Region 2019 Parikshit Pareek
Konstantin Turitsyn
Krishnamurthy Dvijotham
Hung D. Nguyen
4
+ Differential Geometric Foundations for Power Flow Computations 2020 Franz-Erich Wolter
Benjamin Berger
Alexander Vais
4
+ Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery 2015 Zheng Zhang
Hung D. Nguyen
Konstantin Turitsyn
Luca Daniel
4
+ PDF Chat When Gaussian Process Meets Big Data: A Review of Scalable GPs 2020 Haitao Liu
Yew-Soon Ong
Xiaobo Shen
Jianfei Cai
3
+ Contraction Analysis of Nonlinear DAE Systems 2017 Hung D. Nguyen
Thanh Long Vu
Jean-Jacques Slotine
Konstantin Turitsyn
3
+ Contraction Analysis of Nonlinear DAE Systems 2020 Hung D. Nguyen
Thanh Long Vu
Jean-Jacques Slotine
Konstantin Turitsyn
3
+ Critical Eigenvalues Tracing for Power System Analysis via Continuation of Invariant Subspaces and Projected Arnoldi Method 2007 Dan Yang
Venkataramana Ajjarapu
3
+ Constructing Convex Inner Approximations of Steady-State Security Regions 2018 Hung D. Nguyen
Krishnamurthy Dvijotham
Konstantin Turitsyn
3
+ Small-Signal Stability Constrained Optimal Power Flow: A Convexification Approach. 2019 Parikshit Pareek
Hung D. Nguyen
2
+ Probabilistic Load Flow 1974 B. Borkowska
2
+ AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models 2016 Karl Krauth
Edwin V. Bonilla
Kurt Cutajar
Maurizio Filippone
2
+ PDF Chat Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design 2009 Niranjan Srinivas
Andreas Krause
Sham M. Kakade
Matthias Seeger
2
+ Numerical polynomial homotopy continuation method to locate all the power flow solutions 2016 Dhagash Mehta
Hung D. Nguyen
Konstantin Turitsyn
2
+ A novel method for computing small-signal stability boundaries of large-scale power systems 2012 Chongtao Li
Zhengchun Du
2
+ On the NP-hardness of solving bilinear matrix inequalities and simultaneous stabilization with static output feedback 2005 O. Toker
Hitay Özbay
2
+ PDF Chat Convex Relaxation of Optimal Power Flow—Part I: Formulations and Equivalence 2014 Steven H. Low
2
+ PDF Chat Lyapunov Functions Family Approach to Transient Stability Assessment 2015 Thanh Long Vu
Konstantin Turitsyn
2
+ Convex Restriction of Power Flow Feasibility Sets 2019 Dongchan Lee
Hung D. Nguyen
Krishnamurthy Dvijotham
Konstantin Turitsyn
2
+ PDF Chat Matrices: theory and applications 2003 Denis Serre
2
+ A distributed voltage stability margin for power distribution networks 2017 Liviu Aolaritei
Saverio Bolognani
Florian Dörfler
2
+ The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms 2019 Sogol Babaeinejadsarookolaee
Adam B. Birchfield
R.D. Christie
Carleton Coffrin
Christopher L. DeMarco
Ruisheng Diao
Michael C. Ferris
S. Fliscounakis
Scott Greene
Renke Huang
2
+ Tensor Regression Meets Gaussian Processes 2017 Rose Yu
Guangyu Li
Yan Liu
2
+ A generalized framework for chance-constrained optimal power flow 2018 Tillmann MĂŒhlpfordt
Timm Faulwasser
Veit Hagenmeyer
1
+ Interpretable deep Gaussian processes with moments 2019 Chi-Ken Lu
Scott Cheng‐Hsin Yang
Xiaoran Hao
Patrick Shafto
1
+ Bayesian Generalized Horseshoe Estimation of Generalized Linear Models 2020 Daniel F. Schmidt
Enes Makalic
1
+ Review of learning-assisted power system optimization 2020 Guangchun Ruan
Haiwang Zhong
Guanglun Zhang
Yiliu He
Xuan Wang
Tianjiao Pu
1
+ PDF Chat Convex Relaxation of Optimal Power Flow—Part II: Exactness 2014 Steven H. Low
1
+ PDF Chat Gaussian Process Learning-Based Probabilistic Optimal Power Flow 2020 Parikshit Pareek
Hung D. Nguyen
1
+ PDF Chat IEEE Transactions on Automatic Control 2023 1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1
+ PDF Chat A rank minimization heuristic with application to minimum order system approximation 2001 Maryam Fazel
H. Hindi
Stephen Boyd
1
+ A Generalization of Wendell's Tolerance Approach to Sensitivity Analysis in Linear Programming 1991 Frank R. Wondolowski
1
+ Computability of global solutions to factorable nonconvex programs: Part I — Convex underestimating problems 1976 Garth P. McCormick
1
+ Shorter Notes: The Roots of a Polynomial Vary Continuously as a Function of the Coefficients 1987 Gary Harris
Clyde F. Martin
1
+ Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty 2014 Daniel Bienstock
Michael Chertkov
Sean Harnett
1
+ Some interlacing properties of the Schur complement of a Hermitian matrix 1992 Ronald L. Smith
1
+ Perturbation analysis of general LP models: A unified approach to sensitivity, parametric, tolerance, and more-for-less analysis 1990 H. Arsham
Maks Oblak
1
+ PDF Chat Eigenvalue‐optimisation‐based optimal power flow with small‐signal stability constraints 2013 Peijie Li
Hua Wei
Bin Li
Yude Yang
1
+ PDF Chat Automatic robust convex programming 2010 Johan Löfberg
1
+ The Tolerance Approach to Sensitivity Analysis of Matrix Coefficients in Linear Programming 1989 N. Ravi
Richard E. Wendell
1
+ On Sensitivities, Residues and Participations. Applications to Oscillatory Stability Analysis and Control 1989 F.L. Pagola
José Ignacio Pérez Arriaga
George C. Verghese
1
+ PDF Chat Adaptive Robust Optimization With Dynamic Uncertainty Sets for Multi-Period Economic Dispatch Under Significant Wind 2014 Álvaro Lorca
Xu Andy Sun
1
+ A Tight SDP Relaxation for MIQCQP Problems in Power Systems Based on Disjunctive Programming 2015 Qifeng Li
1
+ Security Constrained Optimal Power Flow with Distributionally Robust Chance Constraints 2015 Line Roald
Frauke Oldewurtel
Bart Van Parys
Göran Andersson
1
+ PDF Chat An SQP Method Combined With Gradient Sampling for Small-Signal Stability Constrained OPF 2016 Peijie Li
Junjian Qi
Jianhui Wang
Hua Wei
Xiaoqing Bai
Feng Qiu
1
+ AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models 2016 Karl Krauth
Edwin V. Bonilla
Kurt Cutajar
Maurizio Filippone
1
+ YALMIP : a toolbox for modeling and optimization in MATLAB 2005 Johan Löfberg
1