Pedro P. Vergara

According to our database, Pedro P. Vergara authored at least 70 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Projection Method for Aggregating Large-Scale DERs With Heterogeneity.

Chuyi Li, Kedi Zheng, Pedro P. Vergara, Ning Zhang, Hongye Guo

IEEE Trans. Smart Grid, May, 2026

Community-to-Vehicle: Integrating Electric Vehicles into Energy Communities - A Swiss Case Study.

Na Li, Dong Liu, Stavros Orfanoudakis, Özge Okur, Nanda Kishor Panda, Pedro P. Vergara, Binod Prasad Koirala

CoRR, May, 2026

Foundation Twins: A New Generation of Power Systems Digital Twins using Foundation AI Models.

Pedro P. Vergara

CoRR, May, 2026

Risk-Based PV-Rich Distribution System Planning Using Generative AI.

Habtemariam Aberie Kefale, Weijie Xia, Nanda Kishor Panda, Peter Palensky, Pedro P. Vergara

CoRR, May, 2026

SAVGO: Learning State-Action Value Geometry with Cosine Similarity for Continuous Control.

Stavros Orfanoudakis, Pedro P. Vergara

CoRR, May, 2026

Learning to Route Electric Trucks Under Operational Uncertainty.

Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang, Nikolay Aristov, Pedro P. Vergara, Chuchu Fan, Elenna R. Dugundji

CoRR, April, 2026

Robust Operation of Distribution Networks: Generalized Uncertainty Modelling in Confidence-Level-Based Information Gap Decision.

Zhisheng Xiong, Dimitris Boskos, Bo Zeng, Peter Palensky, Pedro P. Vergara

CoRR, April, 2026

Analytical Probabilistic Power Flow Approximation Using Invertible Neural Networks.

Weijie Xia, James Ciyu Qin, Edgar Mauricio Salazar Duque, Hongjin Du, Peter Palensky, Giovanni Sansavini, Pedro P. Vergara

CoRR, April, 2026

Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks.

Shuyi Gao, Stavros Orfanoudakis, Shengren Hou, Peter Palensky, Pedro P. Vergara

CoRR, March, 2026

SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models.

Nan Lin, Yanbo Wang, Jacco Heres, Peter Palensky, Pedro P. Vergara

CoRR, January, 2026

Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems.

Hongjin Du, Tuanku Badzlin Hashfi, Rashmi Prasad, Pedro P. Vergara, Peter Palensky, Aleksandra Lekic

IEEE Access, 2026

2025

Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks.

Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

CoRR, December, 2025

Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks.

Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

IEEE Trans. Smart Grid, November, 2025

Lower Dimensional Spherical Representation of Medium Voltage Load Profiles for Visualization, Outlier Detection, and Generative Modelling.

Edgar Mauricio Salazar Duque, Bart van der Holst, Pedro P. Vergara, Juan S. Giraldo, Phuong H. Nguyen, Anne van der Molen, Han J. G. Slootweg

IEEE Trans. Smart Grid, November, 2025

Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis.

Zeynab Kaseb, Matthias Möller, Lindsay Spoor, Jerry Guo, Yu Xiang, Peter Palensky, Pedro P. Vergara

CoRR, November, 2025

An OPF-based Control Framework for Hybrid AC-MTDC Power Systems under Uncertainty.

Hongjin Du, Rahul Rane, Weijie Xia, Pedro P. Vergara, Aleksandra Lekic

CoRR, October, 2025

Performance Comparison of Gate-Based and Adiabatic Quantum Computing for Power Flow Analysis.

Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara

CoRR, October, 2025

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints.

Stavros Orfanoudakis, Frans A. Oliehoek, Peter Palensky, Pedro P. Vergara

CoRR, October, 2025

SecuLEx: a Secure Limit Exchange Market for Dynamic Operating Envelopes.

Maurizio Vassallo, Adrien Bolland, Alireza Bahmanyar, Louis Wehenkel, Laurine Duchesne, Dong Liu, Sania Khaskheli, Alexis Ha Thuc, Pedro P. Vergara, Amjad Anvari-Moghaddam, Simon Gerard, Damien Ernst

CoRR, October, 2025

EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models.

Nan Lin, Peter Palensky, Pedro P. Vergara

IEEE Trans. Smart Grid, September, 2025

A Data-Driven Approach for Topology Correction in Low Voltage Networks with DERs.

Dong Liu, Sander Timmerman, Yu Xiang, Peter Palensky, Pedro P. Vergara

CoRR, June, 2025

A Quantum-Enhanced Power Flow and Optimal Power Flow based on Combinatorial Reformulation.

Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara

CoRR, May, 2025

Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems.

Zeynab Kaseb, Rahul Rane, Aleksandra Lekic, Matthias Möller, Amin Khodaei, Peter Palensky, Pedro P. Vergara

CoRR, May, 2025

Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids.

Shengyuan Yan, Farzad Vazinram, Zeynab Kaseb, Lindsay Spoor, Jochen Stiasny, Betul Mamudi, Amirhossein Heydarian Ardakani, Ugochukwu Orji, Pedro P. Vergara, Yu Xiang, Jerry Guo

CoRR, April, 2025

Solving Power System Problems using Adiabatic Quantum Computing.

Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara

CoRR, April, 2025

Forecast-Driven Scenario Generation for Building Energy Management Using Stochastic Optimization.

Hossein Nourollahi Hokmabad, Tala Hemmati Shahsavar, Pedro P. Vergara, Oleksandr Husev, Juri Belikov

CoRR, March, 2025

EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking.

Stavros Orfanoudakis, Cesar Diaz-Londono, Yunus Emre Yilmaz, Peter Palensky, Pedro P. Vergara

IEEE Trans. Intell. Transp. Syst., February, 2025

Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks.

Stavros Orfanoudakis, Peter Palensky, Pedro P. Vergara

CoRR, February, 2025

GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments.

Stavros Orfanoudakis, Nanda Kishor Panda, Peter Palensky, Pedro P. Vergara

CoRR, February, 2025

Synthetic Data Generation for Wind Energy Forecasting: Comparison Between Statistical and Deep Learning Models.

Olga Klyagina, Weijie Xia, José R. Andrade, Pedro P. Vergara, Ricardo J. Bessa

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Can A.I. Revolutionize EV Dispatch?

Stavros Orfanoudakis, Bob Elders, Peter Palensky, Pedro P. Vergara

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

Safe Reinforcement Learning for V2G-Enabled Electric Vehicle Aggregators.

Ruben Eland, Stavros Orfanoudakis, Pedro P. Vergara

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024

Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction.

Nan Lin, Dong Yun, Weijie Xia, Peter Palensky, Pedro P. Vergara

CoRR, 2024

Adaptive Informed Deep Neural Networks for Power Flow Analysis.

Zeynab Kaseb, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky

CoRR, 2024

Two-Stage Robust Optimal Operation of Distribution Networks using Confidence Level Based Distributionally Information Gap Decision.

Zhisheng Xiong, Bo Zeng, Peter Palensky, Pedro P. Vergara

CoRR, 2024

Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks.

Shengren Hou, Peter Palensky, Pedro P. Vergara

CoRR, 2024

A Screening Method for Power System Inertia Zones Identification.

Rashmi Prasad, Pedro P. Vergara, Narayana Prasad Padhy, Robert Dimitrovski, Aleksandra Lekic

CoRR, 2024

An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains.

Weijie Xia, Gao Peng, Chenguang Wang, Peter Palensky, Eric J. Pauwels, Pedro P. Vergara

CoRR, 2024

RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks.

Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

CoRR, 2024

A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control.

Cesar Diaz-Londono, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky, Fredy Ruiz, Giambattista Gruosso

CoRR, 2024

A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction.

Weijie Xia, Chenguang Wang, Peter Palensky, Pedro P. Vergara

CoRR, 2024

On Future Power Systems Digital Twins: Towards a Standard Architecture.

Wouter Zomerdijk, Peter Palensky, Tarek AlSkaif, Pedro P. Vergara

CoRR, 2024

Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems.

Edgar Mauricio Salazar Duque, Juan S. Giraldo, Pedro P. Vergara, Phuong H. Nguyen, Han Slootweg

CoRR, 2024

Adiabatic Computing for Power Flow Analysis.

Zeynab Kaseb, Matthias Möller, Markus Kirsch, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Reinforcement Learning for Optimized EV Charging Through Power Setpoint Tracking.

Yunus Emre Yilmaz, Stavros Orfanoudakis, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

A Constraint Enforcing Imitation Learning Approach for Optimal Operation of Unbalanced Distribution Networks.

Neda Vahabzad, Pedro P. Vergara, Peter Palensky

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Data-Driven Topology Generation with Physics-Guidance in LV Distribution Networks.

Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Hybrid Quantum Physics-Informed Neural Networks for Power Flow Analysis.

Zeynab Kaseb, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Linear Reinforcement Learning for Energy Storage Systems Optimal Dispatch.

Shuyi Gao, Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems.

Hongjin Du, Rashmi Prasad, Aleksandra Lekic, Pedro P. Vergara, Peter Palensky

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

2023

Critical Data Visualization to Enhance Protection Schemes for State Estimation.

Vinicius B. Braga Flôr, Milton Brown Do Coutto Filho, Julio Cesar Stacchini de Souza, Pedro P. Vergara

IEEE Trans. Smart Grid, March, 2023

Quantum Neural Networks for Power Flow Analysis.

Zeynab Kaseb, Matthias Möller, Giorgio Tosti Balducci, Peter Palensky, Pedro P. Vergara

CoRR, 2023

PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation.

Nan Lin, Stavros Orfanoudakis, Nathan Ordonez Cardenas, Juan S. Giraldo, Pedro P. Vergara

CoRR, 2023

A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch.

Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara

CoRR, 2023

Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation.

Flore Verbist, Nanda Kishor Panda, Pedro P. Vergara, Peter Palensky

CoRR, 2023

Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm.

Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque, Peter Palensky

CoRR, 2023

Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF.

Juan S. Giraldo, Nataly Bañol Arias, Pedro P. Vergara, Maria Vlasiou, Gerwin Hoogsteen, Johann L. Hurink

CoRR, 2023

Volt/VAR Optimization in the Presence of Attacks: A Real-Time Co-Simulation Study.

Mohd Asim Aftab, Astha Chawla, Pedro P. Vergara, Shehab Ahmed, Charalambos Konstantinou

Proceedings of the IEEE International Conference on Communications, 2023

Adaptive Activation Functions for Deep Learning-based Power Flow Analysis.

Zeynab Kaseb, Yu Xiang, Peter Palensky, Pedro P. Vergara

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022

Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems.

Suman Rath, Ioannis Zografopoulos, Pedro P. Vergara, Vassilis C. Nikolaidis, Charalambos Konstantinou

CoRR, 2022

Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling.

Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

2021

Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data.

Edgar Mauricio Salazar Duque, Pedro P. Vergara, Phuong H. Nguyen, Anne van der Molen, Johannes G. Slootweg

IEEE Trans. Smart Grid, 2021

2019

Distributed Strategy for Optimal Dispatch of Unbalanced Three-Phase Islanded Microgrids.

Pedro P. Vergara, Juan M. Rey, Hamid Reza Shaker, Josep M. Guerrero, Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva

IEEE Trans. Smart Grid, 2019

A Generalized Model for the Optimal Operation of Microgrids in Grid-Connected and Islanded Droop-Based Mode.

Pedro P. Vergara, Juan M. Rey, Juan Camilo López, Marcos J. Rider, Luiz Carlos Pereira da Silva, Hamid Reza Shaker, Bo Nørregaard Jørgensen

IEEE Trans. Smart Grid, 2019

Optimal Operation of Unbalanced Three-Phase Islanded Droop-Based Microgrids.

Pedro P. Vergara, Juan Camilo Lopez, Marcos J. Rider, Luiz Carlos Pereira da Silva

IEEE Trans. Smart Grid, 2019

Optimal Management of Energy Consumption and Comfort for Smart Buildings Operating in a Microgrid.

Jerson A. Pinzon, Pedro P. Vergara, Luiz Carlos Pereira da Silva, Marcos J. Rider

IEEE Trans. Smart Grid, 2019

Feasibility and Performance Assessment of Commercial PV Inverters Operating with Droop Control for Providing Voltage Support Services.

Pedro P. Vergara, Tam T. Mai, Andrew Burstein, Phuong H. Nguyen

Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

2018

Local hierarchical control for industrial microgrids with improved frequency regulation.

Juan M. Rey, Pedro P. Vergara, Miguel Castilla, Antonio Camacho, Jaume Miret

Proceedings of the IEEE International Conference on Industrial Technology, 2018

2017

Generalization of the λ-method for decentralized economic dispatch considering reactive resources.

Pedro P. Vergara, Hamid Reza Shaker, Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva

Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

An MILP model for optimal management of energy consumption and comfort in smart buildings.

Jerson A. Pinzon, Pedro P. Vergara, Luiz Carlos Pereira da Silva, Marcos J. Rider

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017