Publications | Parikshit Pareek

Research areas

Structured-Data Foundation Models

Prior-data fitted networks and TabPFN-style in-context learners for tabular and physical data.

Recent:

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling
Gradient-Free Topology Adaptation for Power Flow Surrogates via In-Context Whitening

AI for Power Systems

Learning-based power flow, OPF proxies and uncertainty quantification for the grid.

Recent:

Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk
Gradient-Free Topology Adaptation for Power Flow Surrogates via In-Context Whitening

Learning for Optimization

Learned optimization proxies and surrogates, and language models that generate and tune optimization problems.

Recent:

Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback
Fast Diffusion with Physics-Correction for ACOPF

Power Systems & Other Works

Optimal power flow, stability, flexibility and storage, quantum computing for power flow, and earlier work on electrical machines.

Recent:

Towards AC Feasibility of DCOPF Dispatch
Conditions for Quantum Advantage in AC Power Flow

Search Type

Area:

Status:

Preprints

Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback

Jitin Singla, Parikshit Pareek, Pratik Jawanpuria, and Parag Singla

arXiv preprint arXiv:2609.37356, 2026

arXiv bibtex preprint · learning for optimization

@article{singla2026milp,
  title = {Teaching LLMs to Generate Challenging MILP Instances via Solver Feedback},
  author = {Singla, Jitin and Pareek, Parikshit and Jawanpuria, Pratik and Singla, Parag},
  journal = {arXiv preprint arXiv:2609.37356},
  year = {2026},
  keywords = {submitted},
  url = {https://arxiv.org/abs/2609.37356}
}

Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

Anuj Pal, Raunak Kumar, Dhruvi Solanki, Parikshit Pareek, Juhi Singh, and 1 more author

bioRxiv, 2026

arXiv DOI bibtex preprint · structured-data FMs

@article{pal2026coarse,
  title = {Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling},
  author = {Pal, Anuj and Kumar, Raunak and Solanki, Dhruvi and Pareek, Parikshit and Singh, Juhi and Singla, Jitin},
  journal = {bioRxiv},
  year = {2026},
  keywords = {submitted},
  doi = {10.64898/2026.08.27.747591},
  url = {https://www.biorxiv.org/content/10.64898/2026.08.27.747591}
}

Conditions for Quantum Advantage in AC Power Flow

Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, and Sidhant Misra

arXiv preprint arXiv:2608.06711, 2026

arXiv bibtex preprint · power systems & other

@article{pareek2026quantumadvantage,
  title = {Conditions for Quantum Advantage in AC Power Flow},
  author = {Pareek, Parikshit and Jayakumar, Abhijith and Coffrin, Carleton and Misra, Sidhant},
  journal = {arXiv preprint arXiv:2608.06711},
  year = {2026},
  keywords = {submitted},
  url = {https://arxiv.org/abs/2608.06711}
}

Gradient-Free Topology Adaptation for Power Flow Surrogates via In-Context Whitening

Ayushi Jolotia, and Parikshit Pareek

arXiv preprint arXiv:2607.12241, 2026

arXiv bibtex preprint · structured-data FMs, AI for power systems

@article{jolotia2026gradientfree,
  title = {Gradient-Free Topology Adaptation for Power Flow Surrogates via In-Context Whitening},
  author = {Jolotia, Ayushi and Pareek, Parikshit},
  journal = {arXiv preprint arXiv:2607.12241},
  year = {2026},
  keywords = {submitted},
  url = {https://arxiv.org/abs/2607.12241}
}

PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch

Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, and 1 more author

arXiv preprint arXiv:2606.29011, 2026

arXiv bibtex preprint · power systems & other

@article{boateng2026pacr,
  title = {PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch},
  author = {Boateng, Michael A. and Bent, Russell and Misra, Sidhant and Pareek, Parikshit and Van Hentenryck, Pascal and Molzahn, Daniel},
  journal = {arXiv preprint arXiv:2606.29011},
  year = {2026},
  keywords = {submitted},
  url = {https://arxiv.org/abs/2606.29011}
}

Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks

Kaustubh Sharma, Srijan Tiwari, Ojasva Nema, and Parikshit Pareek

arXiv preprint arXiv:2601.21731, 2026

arXiv bibtex preprint · structured-data FMs

@article{sharma2026spectral,
  title = {Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks},
  author = {Sharma, Kaustubh and Tiwari, Srijan and Nema, Ojasva and Pareek, Parikshit},
  journal = {arXiv preprint arXiv:2601.21731},
  year = {2026},
  keywords = {submitted},
  url = {https://arxiv.org/abs/2601.21731}
}

Decoupled-Value Attention for Prior-Data Fitted Networks: GP Inference for Physical Equations

Kaustubh Sharma, Simardeep Singh, and Parikshit Pareek

arXiv preprint arXiv:2509.20950, 2025

Focuses on fast surrogates for 64-dimensional power flow equations.

arXiv bibtex preprint · structured-data FMs, AI for power systems

@article{pareek2025dva,
  title = {Decoupled-Value Attention for Prior-Data Fitted Networks: GP Inference for Physical Equations},
  author = {Sharma, Kaustubh and Singh, Simardeep and Pareek, Parikshit},
  journal = {arXiv preprint arXiv:2509.20950},
  year = {2025},
  keywords = {submitted},
  url = {https://arxiv.org/abs/2509.20950},
  note = {Focuses on fast surrogates for 64-dimensional power flow equations.}
}

Journals & A* Conferences

2027

Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk

Parikshit Pareek, Sidhant Misra, and Deepjyoti Deka

Electric Power Systems Research, 2027

Power Systems Computation Conference (PSCC) 2026 Special Issue.

arXiv DOI bibtex published · AI for power systems

@article{pareek2023graph,
  title = {Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk},
  author = {Pareek, Parikshit and Misra, Sidhant and Deka, Deepjyoti},
  journal = {Electric Power Systems Research},
  volume = {263},
  pages = {113619},
  year = {2027},
  keywords = {journal},
  doi = {10.1016/j.epsr.2026.113619},
  note = {Power Systems Computation Conference (PSCC) 2026 Special Issue.}
}

Towards AC Feasibility of DCOPF Dispatch

Michael A. Boateng, Russell Bent, Sidhant Misra, Parikshit Pareek, Pascal Van Hentenryck, and 1 more author

Electric Power Systems Research, 2027

Power Systems Computation Conference (PSCC) 2026 Special Issue.

arXiv DOI bibtex published · power systems & other

@article{boateng2025acfeasibility,
  title = {Towards AC Feasibility of DCOPF Dispatch},
  author = {Boateng, Michael A. and Bent, Russell and Misra, Sidhant and Pareek, Parikshit and Van Hentenryck, Pascal and Molzahn, Daniel},
  journal = {Electric Power Systems Research},
  volume = {262},
  pages = {113652},
  year = {2027},
  keywords = {journal},
  doi = {10.1016/j.epsr.2026.113652},
  url = {https://arxiv.org/abs/2511.14725},
  note = {Power Systems Computation Conference (PSCC) 2026 Special Issue.}
}

2026

Gaussian processes in power systems: Techniques, applications, and future works

Bendong Tan, Tong Su, Yu Weng, Ketian Ye, Parikshit Pareek, and 4 more authors

Applied Energy, 2026

arXiv DOI bibtex published · AI for power systems

@article{tan2026gaussian,
  title = {Gaussian processes in power systems: Techniques, applications, and future works},
  author = {Tan, Bendong and Su, Tong and Weng, Yu and Ye, Ketian and Pareek, Parikshit and Vorobev, Petr and Nguyen, Hung and Zhao, Junbo and Deka, Deepjyoti},
  journal = {Applied Energy},
  volume = {402},
  pages = {126995},
  year = {2026},
  keywords = {journal},
  doi = {10.1016/j.apenergy.2025.126995}
}

Limitations of Fault-Tolerant Quantum Linear System Solvers for Quantum Power Flow

Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin, and Sidhant Misra

IEEE Transactions on Power Systems, 2026

arXiv DOI bibtex published · power systems & other

@article{pareek2024quantum,
  title = {Limitations of Fault-Tolerant Quantum Linear System Solvers for Quantum Power Flow},
  author = {Pareek, Parikshit and Jayakumar, Abhijith and Coffrin, Carleton and Misra, Sidhant},
  journal = {IEEE Transactions on Power Systems},
  volume = {41},
  number = {2},
  pages = {811--820},
  year = {2026},
  keywords = {journal},
  doi = {10.1109/TPWRS.2025.3613139},
}

2025

Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach

Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Deepjyoti Deka, and Sidhant Misra

In Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

arXiv bibtex published · AI for power systems, learning for optimization

@inproceedings{pareek2024optimization,
  title = {Optimization Proxies using Limited Labeled Data and Training Time -- A Semi-Supervised Bayesian Neural Network Approach},
  author = {Pareek, Parikshit and Jayakumar, Abhijith and Sundar, Kaarthik and Deka, Deepjyoti and Misra, Sidhant},
  booktitle = {Proceedings of the 42nd International Conference on Machine Learning (ICML)},
  year = {2025},
  keywords = {journal},
  url = {https://arxiv.org/abs/2410.03085}
}

Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies

Parikshit Pareek, Sidhant Misra, and Deepjyoti Deka

Sustainable Energy, Grids and Networks, 2025

arXiv DOI bibtex published · AI for power systems

@article{pareek2023data,
  title = {Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies},
  author = {Pareek, Parikshit and Misra, Sidhant and Deka, Deepjyoti},
  journal = {Sustainable Energy, Grids and Networks},
  volume = {43},
  pages = {101811},
  year = {2025},
  keywords = {journal},
  doi = {10.1016/j.segan.2025.101811},
}

Convexified Flexibility Area Identification at TSO-DSO Interface

Sonam Mittal, Parikshit Pareek, and Ashu Verma

IEEE Transactions on Industry Applications, 2025

DOI bibtex published · power systems & other

@article{SonamCFA2023,
  title = {Convexified Flexibility Area Identification at TSO-DSO Interface},
  author = {Mittal, Sonam and Pareek, Parikshit and Verma, Ashu},
  journal = {IEEE Transactions on Industry Applications},
  volume = {61},
  number = {2},
  pages = {1958--1969},
  year = {2025},
  keywords = {journal},
  doi = {10.1109/TIA.2024.3481350}
}

2024

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

arXiv DOI bibtex published · power systems & other

@article{PareekFacilitator,
  title = {Degradation-Infused Energy Portfolio Allocation Framework: Risk-Averse Fair Storage Participation},
  author = {Pareek, Parikshit and Sampath, L. P. Mohasha Isuru and Singh, Anshuman and Goel, Lalit and Gooi, H. B. and Nguyen, Hung D.},
  journal = {Energy},
  volume = {313},
  pages = {133688},
  year = {2024},
  keywords = {journal},
  doi = {10.1016/j.energy.2024.133688},
  url = {https://doi.org/10.1016/j.energy.2024.133688},
}

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

DOI bibtex published · power systems & other

@article{singh2024stress,
  title = {A Stress-Cognizant Optimal Battery Dispatch Framework for Multimarket Participation},
  author = {Singh, Anshuman and Pareek, Parikshit and Sampath, Lahanda Purage Mohasha Isuru and Goel, Lalit and Gooi, H. B. and Nguyen, Hung D.},
  journal = {IEEE Transactions on Industrial Informatics},
  volume = {20},
  number = {5},
  pages = {7259--7268},
  year = {2024},
  keywords = {journal},
  doi = {10.1109/TII.2024.3358848}
}

Distribution line parameters estimation framework with correlated injections using smart meter measurements

Sonam Mittal, Parikshit Pareek, and Ashu Verma

Electric Power Systems Research, 2024

DOI bibtex published · power systems & other

@article{mittal2024distribution,
  title = {Distribution line parameters estimation framework with correlated injections using smart meter measurements},
  author = {Mittal, Sonam and Pareek, Parikshit and Verma, Ashu},
  journal = {Electric Power Systems Research},
  volume = {228},
  pages = {110083},
  year = {2024},
  keywords = {journal},
  doi = {10.1016/j.epsr.2023.110083}
}

2023

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

DOI bibtex published · power systems & other

@article{pareek2023locating,
  title = {Locating Critical Prosumers in P2P Dominant Grids using State-Sensitivity Function},
  author = {Pareek, Parikshit and Sampath, LP Mohasha Isuru and Nguyen, Hung D. and Foo, Eddy YS},
  journal = {IEEE Transactions on Smart Grid},
  volume = {14},
  number = {5},
  pages = {4145--4148},
  year = {2023},
  keywords = {journal},
  doi = {10.1109/TSG.2023.3293710}
}

Scalable probabilistic optimal power flow for high renewables using lite polynomial chaos expansion

Sel Ly, Parikshit Pareek, and Hung D. Nguyen

IEEE Systems Journal, 2023

DOI bibtex published · power systems & other

@article{ly2023scalable,
  title = {Scalable probabilistic optimal power flow for high renewables using lite polynomial chaos expansion},
  author = {Ly, Sel and Pareek, Parikshit and Nguyen, Hung D.},
  journal = {IEEE Systems Journal},
  volume = {17},
  number = {2},
  pages = {2282--2293},
  year = {2023},
  keywords = {journal},
  doi = {10.1109/JSYST.2022.3198726}
}

2022

A framework for analytical power flow solution using Gaussian process learning

Parikshit Pareek, and Hung D. Nguyen

IEEE Transactions on Sustainable Energy, 2022

DOI bibtex published · AI for power systems

@article{pareek2022framework,
  title = {A framework for analytical power flow solution using Gaussian process learning},
  author = {Pareek, Parikshit and Nguyen, Hung D.},
  journal = {IEEE Transactions on Sustainable Energy},
  volume = {13},
  number = {1},
  pages = {452--463},
  year = {2022},
  keywords = {journal},
  doi = {10.1109/TSTE.2021.3116544}
}

Non-parametric Joint Chance-Constrained OPF via Maximum Mean Discrepancy Penalization

Parikshit Pareek, and Hung D. Nguyen

Electric Power Systems Research, 2022

DOI bibtex published · AI for power systems

@article{pareek2022non,
  title = {Non-parametric Joint Chance-Constrained OPF via Maximum Mean Discrepancy Penalization},
  author = {Pareek, Parikshit and Nguyen, Hung D.},
  journal = {Electric Power Systems Research},
  volume = {212},
  pages = {108482},
  year = {2022},
  keywords = {journal},
  doi = {10.1016/j.epsr.2022.108482}
}

A robust day-ahead scheduling strategy for EV charging stations in unbalanced distribution grid

Bakul Kandpal, Parikshit Pareek, and Ashu Verma

Energy, 2022

DOI bibtex published · power systems & other

@article{kandpal2022robust,
  title = {A robust day-ahead scheduling strategy for EV charging stations in unbalanced distribution grid},
  author = {Kandpal, Bakul and Pareek, Parikshit and Verma, Ashu},
  journal = {Energy},
  volume = {249},
  pages = {123737},
  year = {2022},
  keywords = {journal},
  doi = {10.1016/j.energy.2022.123737}
}

2021

Non-parametric probabilistic load flow using Gaussian process learning

Parikshit Pareek, Chuan Wang, and Hung D. Nguyen

Physica D: Nonlinear Phenomena, 2021

arXiv DOI bibtex published · AI for power systems

@article{pareek2021physicad,
  title = {Non-parametric probabilistic load flow using Gaussian process learning},
  author = {Pareek, Parikshit and Wang, Chuan and Nguyen, Hung D.},
  journal = {Physica D: Nonlinear Phenomena},
  volume = {424},
  pages = {132941},
  year = {2021},
  keywords = {journal},
  doi = {10.1016/j.physd.2021.132941}
}

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

arXiv DOI bibtex published · power systems & other

@article{pareek2021convexification,
  title = {A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow},
  author = {Pareek, Parikshit and Nguyen, Hung D.},
  journal = {IEEE Transactions on Control of Network Systems},
  volume = {8},
  number = {4},
  pages = {1930--1941},
  year = {2021},
  keywords = {journal},
  doi = {10.1109/TCNS.2021.3090205},
}

State-Aware Stochastic Optimal Power Flow

Parikshit Pareek, and Hung D. Nguyen

Sustainability, 2021

DOI bibtex published · power systems & other

@article{pareek2021state,
  title = {State-Aware Stochastic Optimal Power Flow},
  author = {Pareek, Parikshit and Nguyen, Hung D.},
  journal = {Sustainability},
  volume = {13},
  number = {14},
  pages = {7577},
  year = {2021},
  keywords = {journal},
  doi = {10.3390/su13147577},
  url = {https://www.mdpi.com/2071-1050/13/14/7577}
}

Optimal steady-state voltage control using Gaussian process learning

Parikshit Pareek, Weng Yu, and Hung D. Nguyen

IEEE Transactions on Industrial Informatics, 2021

DOI bibtex published · AI for power systems

@article{pareek2020optimal,
  title = {Optimal steady-state voltage control using Gaussian process learning},
  author = {Pareek, Parikshit and Yu, Weng and Nguyen, Hung D.},
  journal = {IEEE Transactions on Industrial Informatics},
  volume = {17},
  number = {10},
  pages = {7017--7027},
  year = {2021},
  keywords = {journal},
  doi = {10.1109/TII.2020.3047844}
}

Gaussian process learning-based probabilistic optimal power flow

Parikshit Pareek, and Hung D. Nguyen

IEEE Transactions on Power Systems, 2021

arXiv DOI bibtex published · AI for power systems

@article{pareek2021gppopf,
  title = {Gaussian process learning-based probabilistic optimal power flow},
  author = {Pareek, Parikshit and Nguyen, Hung D.},
  journal = {IEEE Transactions on Power Systems},
  volume = {36},
  number = {1},
  pages = {541--544},
  year = {2021},
  keywords = {journal},
  doi = {10.1109/TPWRS.2020.3031765}
}

2020

Probabilistic robust small-signal stability framework using Gaussian process learning

Parikshit Pareek, and Hung D. Nguyen

Electric Power Systems Research, 2020

arXiv DOI bibtex published · AI for power systems

@article{pareek2020probabilistic,
  title = {Probabilistic robust small-signal stability framework using Gaussian process learning},
  author = {Pareek, Parikshit and Nguyen, Hung D.},
  journal = {Electric Power Systems Research},
  volume = {188},
  pages = {106545},
  year = {2020},
  keywords = {journal},
  doi = {10.1016/j.epsr.2020.106545}
}

2018

Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon

Parikshit Pareek, and Ashu Verma

IEEE Transactions on Power Systems, 2018

arXiv DOI bibtex published · power systems & other

@article{pareek2018piecewise,
  title = {Piecewise Linearization of Quadratic Branch Flow Limits by Irregular Polygon},
  author = {Pareek, Parikshit and Verma, Ashu},
  journal = {IEEE Transactions on Power Systems},
  volume = {33},
  number = {6},
  pages = {7301--7304},
  year = {2018},
  keywords = {journal},
  doi = {10.1109/TPWRS.2018.2865181},
}

Conferences

2026

Fast Diffusion with Physics-Correction for ACOPF

Shashank Shekhar, Abhinav Karn, Kris Keshav, Shivam Bansal, and Parikshit Pareek

In 2026 IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), 2026

arXiv DOI bibtex published · AI for power systems, learning for optimization

@inproceedings{shekhar2026diffusion,
  title = {Fast Diffusion with Physics-Correction for ACOPF},
  author = {Shekhar, Shashank and Karn, Abhinav and Keshav, Kris and Bansal, Shivam and Pareek, Parikshit},
  booktitle = {2026 IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEFET)},
  pages = {1--6},
  year = {2026},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/SEFET69291.2026.11687130},
  url = {https://arxiv.org/abs/2602.03020}
}

Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies

Dhruvi Khandelwal, Anurag Basistha, Ayushi Jolotia, and Parikshit Pareek

In 2026 IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEFET), 2026

arXiv DOI bibtex published · AI for power systems, learning for optimization

@inproceedings{khandelwal2026width,
  title = {Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies},
  author = {Khandelwal, Dhruvi and Basistha, Anurag and Jolotia, Ayushi and Pareek, Parikshit},
  booktitle = {2026 IEEE 6th International Conference on Sustainable Energy and Future Electric Transportation (SEFET)},
  pages = {1--5},
  year = {2026},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/SEFET69291.2026.11687620},
  url = {https://arxiv.org/abs/2606.03125}
}

Small LLMs with Expert Blocks Are Good Enough for Hyperparamter Tuning

Om Naphade, Saksham Bansal, and Parikshit Pareek

In ICLR 2026 Workshop LLM Reasoning, 2026

arXiv Link bibtex published · learning for optimization

@inproceedings{naphade2025smallllm,
  title = {Small LLMs with Expert Blocks Are Good Enough for Hyperparamter Tuning},
  author = {Naphade, Om and Bansal, Saksham and Pareek, Parikshit},
  booktitle = {ICLR 2026 Workshop LLM Reasoning},
  year = {2026},
  keywords = {conference},
  url = {https://openreview.net/forum?id=FMF0oUvNYP}
}

2025

Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes

Daniel Glover, Parikshit Pareek, Deepjyoti Deka, and Anamika Dubey

In 2025 IEEE Power & Energy Society General Meeting (PESGM), 2025

arXiv DOI bibtex published · AI for power systems

@inproceedings{glover2025multiphase,
  title = {Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes},
  author = {Glover, Daniel and Pareek, Parikshit and Deka, Deepjyoti and Dubey, Anamika},
  booktitle = {2025 IEEE Power \& Energy Society General Meeting (PESGM)},
  pages = {1--5},
  year = {2025},
  keywords = {conference},
  doi = {10.1109/PESGM52009.2025.11225305},
  url = {https://arxiv.org/abs/2504.21260}
}

2024

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

Link bibtex published · AI for power systems, learning for optimization

@inproceedings{pareek2024learningless,
  title = {Learning from Less: Bayesian Neural Networks for Optimization Proxy using Limited Labeled Data},
  author = {Pareek, Parikshit and Sundar, Kaarthik and Deka, Deepjyoti and Misra, Sidhant},
  booktitle = {NeurIPS 2024 Workshop on Bayesian Decision-making and Uncertainty},
  year = {2024},
  keywords = {conference},
  url = {https://openreview.net/forum?id=E03lKqFNcu}
}

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 (e-Energy), 2024

arXiv DOI bibtex published · AI for power systems

@inproceedings{foo2024convergence,
  title = {A Convergence Predictor Model for Consensus-based Decentralised Energy Markets},
  author = {Foo, Eddy YS and Pareek, Parikshit and Sampath, LP Mohasha Isuru and Nguyen, Hung D.},
  booktitle = {Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy)},
  pages = {606--609},
  year = {2024},
  keywords = {conference},
  doi = {10.1145/3632775.3661987},
}

2022

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

DOI bibtex published · power systems & other

@inproceedings{mittal2022flexibility,
  title = {Assessment of flexibility region at TSO-DSO interface with dispatchable resources},
  author = {Mittal, Sonam and Pareek, Parikshit and Verma, Ashu},
  booktitle = {2022 22nd National Power Systems Conference (NPSC)},
  pages = {500--505},
  year = {2022},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/NPSC57038.2022.10069442}
}

Privacy-Preserving Feasibility Assessment for P2P Energy Trading and Storage Integration

Parikshit Pareek, Anshuman Singh, L. P. Mohasha Isuru Sampath, H. B. Gooi, and Hung D. Nguyen

In 2022 IEEE Power & Energy Society General Meeting (PESGM), 2022

DOI bibtex published · power systems & other

@inproceedings{pareek2022privacy,
  title = {Privacy-Preserving Feasibility Assessment for P2P Energy Trading and Storage Integration},
  author = {Pareek, Parikshit and Singh, Anshuman and Sampath, L. P. Mohasha Isuru and Gooi, H. B. and Nguyen, Hung D.},
  booktitle = {2022 IEEE Power \& Energy Society General Meeting (PESGM)},
  pages = {1--5},
  year = {2022},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/PESGM48719.2022.9917177}
}

2021

Probabilistic-based optimal storage placement and sizing enabling networked microgrid community

Parikshit Pareek, Jiahang Xie, Yu Weng, Anshuman Singh, and Hung Dinh Nguyen

In 2021 International Conference on Smart Energy Systems and Technologies (SEST), 2021

DOI bibtex published · power systems & other

@inproceedings{pareek2021storage,
  title = {Probabilistic-based optimal storage placement and sizing enabling networked microgrid community},
  author = {Pareek, Parikshit and Xie, Jiahang and Weng, Yu and Singh, Anshuman and Nguyen, Hung Dinh},
  booktitle = {2021 International Conference on Smart Energy Systems and Technologies (SEST)},
  pages = {1--6},
  year = {2021},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/SEST50973.2021.9543390}
}

2019

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

arXiv DOI bibtex published · power systems & other

@inproceedings{pareek2019sufficient,
  title = {A sufficient condition for small-signal stability and construction of robust stability region},
  author = {Pareek, Parikshit and Turitsyn, Konstantin and Dvijotham, Krishnamurthy and Nguyen, Hung D.},
  booktitle = {2019 IEEE Power \& Energy Society General Meeting (PESGM)},
  pages = {1--5},
  year = {2019},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/PESGM40551.2019.8973654}
}

2016

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

DOI bibtex published · power systems & other

@inproceedings{mutha2016real,
  title = {Real time standalone data acquisition system for environmental data},
  author = {Mutha, Vasant Raj and Kumar, Narendra and Pareek, Parikshit},
  booktitle = {2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)},
  pages = {1--4},
  year = {2016},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/ICPEICES.2016.7853337},
  url = {https://ieeexplore.ieee.org/document/7853337}
}

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

DOI bibtex published · power systems & other

@inproceedings{pareek2016bearing,
  title = {A new approach for bearing fault analysis in Squirrel Cage Induction Motor},
  author = {Pareek, Parikshit and Khandelwal, Nishant and Kapoor, Shashi Raj},
  booktitle = {2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)},
  pages = {1--6},
  year = {2016},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/ICPEICES.2016.7853090}
}

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

DOI bibtex published · power systems & other

@inproceedings{khandelwal2016startup,
  title = {Start-up transient current analysis for Squirrel Cage Induction Motor},
  author = {Khandelwal, Nishant and Pareek, Parikshit and Kapoor, Shashi Raj},
  booktitle = {2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)},
  pages = {1--6},
  year = {2016},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/ICPEICES.2016.7853261}
}

Assessment of Fault Harmonics in Squirrel Cage Induction Motor

Shashi Raj Kapoor, Parikshit Pareek, and Nishant Khandelwal

In 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT), 2016

DOI bibtex published · power systems & other

@inproceedings{kapoor2016harmonics,
  title = {Assessment of Fault Harmonics in Squirrel Cage Induction Motor},
  author = {Kapoor, Shashi Raj and Pareek, Parikshit and Khandelwal, Nishant},
  booktitle = {2016 Second International Conference on Computational Intelligence \& Communication Technology (CICT)},
  pages = {332--337},
  year = {2016},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/CICT.2016.72}
}

2014

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

DOI bibtex published · power systems & other

@inproceedings{kapoor2014bearing,
  title = {Bearing fault analysis by signal energy calculation based signal processing technique in squirrel cage induction motor},
  author = {Kapoor, Shashi Raj and Khandelwal, Nishant and Pareek, Parikshit},
  booktitle = {2014 International Conference on Signal Propagation and Computer Technology (ICSPCT)},
  pages = {33--38},
  year = {2014},
  organization = {IEEE},
  keywords = {conference},
  doi = {10.1109/ICSPCT.2014.6884922}
}

Theses & Articles

2025

Powering the AI Era: Preparing the Grid for the Data Centre Boom

Parikshit Pareek, and S. K. Soonee

PowerLine, 2025

Link bibtex published · power systems & other

@article{pareek2025powerline,
  title = {Powering the AI Era: Preparing the Grid for the Data Centre Boom},
  author = {Pareek, Parikshit and Soonee, S. K.},
  journal = {PowerLine},
  year = {2025},
  keywords = {magazine},
  url = {https://powerline.net.in/2025/12/09/powering-the-ai-era-preparing-the-grid-for-the-data-centre-boom/}
}

2022

Analytical Approximations and Decision-Making Techniques for Power Systems under Uncertainty

Parikshit Pareek

Nanyang Technological University, 2022

Link bibtex published · AI for power systems

@phdthesis{pareek2022analytical,
  title = {Analytical Approximations and Decision-Making Techniques for Power Systems under Uncertainty},
  author = {Pareek, Parikshit},
  year = {2022},
  school = {Nanyang Technological University},
  keywords = {thesis},
  url = {https://dr.ntu.edu.sg/handle/10356/164950}
}

2018

Linear Optimal Power Flow Analysis and Applications

Parikshit Pareek

Indian Institute of Technology Delhi, 2018

bibtex published · power systems & other

@mastersthesis{pareek2018mtech,
  title = {Linear Optimal Power Flow Analysis and Applications},
  author = {Pareek, Parikshit},
  year = {2018},
  school = {Indian Institute of Technology Delhi},
  keywords = {thesis},
}