Pedro P. Vergara

67 papers B 1Misc 1Journal 52Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models. CoRR Nan Lin, Yanbo Wang, Jacco Heres, Peter Palensky, Pedro P. Vergara
2026	J	`jnl`	Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks. CoRR Shuyi Gao, Stavros Orfanoudakis, Shengren Hou, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	A Data-Driven Approach for Topology Correction in Low Voltage Networks with DERs. CoRR Dong Liu, Sander Timmerman, Yu Xiang, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	A Quantum-Enhanced Power Flow and Optimal Power Flow based on Combinatorial Reformulation. CoRR Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	An OPF-based Control Framework for Hybrid AC-MTDC Power Systems under Uncertainty. CoRR Hongjin Du, Rahul Rane, Weijie Xia, Pedro P. Vergara, Aleksandra Lekic
2025	J	`jnl`	Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids. CoRR Shengyuan Yan, Farzad Vazinram, Zeynab Kaseb, Lindsay Spoor, Jochen Stiasny, Betul Mamudi, Amirhossein Heydarian Ardakani, Ugochukwu Orji, Pedro P. Vergara, Yu Xiang, Jerry Guo
2025	J	`jnl`	Distributed Reinforcement Learning using Local Smart Meter Data for Voltage Regulation in Distribution Networks. CoRR Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking. IEEE Trans. Intell. Transp. Syst. Stavros Orfanoudakis, Cesar Diaz-Londono, Yunus Emre Yilmaz, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	EnergyDiff: Universal Time-Series Energy Data Generation Using Diffusion Models. IEEE Trans. Smart Grid Nan Lin, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Forecast-Driven Scenario Generation for Building Energy Management Using Stochastic Optimization. CoRR Hossein Nourollahi Hokmabad, Tala Hemmati Shahsavar, Pedro P. Vergara, Oleksandr Husev, Juri Belikov
2025	J	`jnl`	GNN-DT: Graph Neural Network Enhanced Decision Transformer for Efficient Optimization in Dynamic Environments. CoRR Stavros Orfanoudakis, Nanda Kishor Panda, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Lower Dimensional Spherical Representation of Medium Voltage Load Profiles for Visualization, Outlier Detection, and Generative Modelling. IEEE Trans. Smart Grid 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
2025	J	`jnl`	Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks. CoRR Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks. IEEE Trans. Smart Grid Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems. CoRR Hongjin Du, Tuanku Badzlin Hashfi, Rashmi Prasad, Pedro P. Vergara, Peter Palensky, Aleksandra Lekic
2025	J	`jnl`	Optimizing Electric Vehicles Charging using Large Language Models and Graph Neural Networks. CoRR Stavros Orfanoudakis, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Performance Comparison of Gate-Based and Adiabatic Quantum Computing for Power Flow Analysis. CoRR Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints. CoRR Stavros Orfanoudakis, Frans A. Oliehoek, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems. CoRR Zeynab Kaseb, Rahul Rane, Aleksandra Lekic, Matthias Möller, Amin Khodaei, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis. CoRR Zeynab Kaseb, Matthias Möller, Lindsay Spoor, Jerry Guo, Yu Xiang, Peter Palensky, Pedro P. Vergara
2025	J	`jnl`	SecuLEx: a Secure Limit Exchange Market for Dynamic Operating Envelopes. CoRR 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
2025	J	`jnl`	Solving Power System Problems using Adiabatic Quantum Computing. CoRR Zeynab Kaseb, Matthias Möller, Peter Palensky, Pedro P. Vergara
2025	B	`conf`	Synthetic Data Generation for Wind Energy Forecasting: Comparison Between Statistical and Deep Learning Models. SMC Olga Klyagina, Weijie Xia, José R. Andrade, Pedro P. Vergara, Ricardo J. Bessa
2024	—	`conf`	A Constraint Enforcing Imitation Learning Approach for Optimal Operation of Unbalanced Distribution Networks. ISGT EUROPE Neda Vahabzad, Pedro P. Vergara, Peter Palensky
2024	J	`jnl`	A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction. CoRR Weijie Xia, Chenguang Wang, Peter Palensky, Pedro P. Vergara
2024	J	`jnl`	A Screening Method for Power System Inertia Zones Identification. CoRR Rashmi Prasad, Pedro P. Vergara, Narayana Prasad Padhy, Robert Dimitrovski, Aleksandra Lekic
2024	J	`jnl`	A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control. CoRR Cesar Diaz-Londono, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky, Fredy Ruiz, Giambattista Gruosso
2024	J	`jnl`	Adaptive Informed Deep Neural Networks for Power Flow Analysis. CoRR Zeynab Kaseb, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky
2024	Misc	`conf`	Adiabatic Computing for Power Flow Analysis. QCE Zeynab Kaseb, Matthias Möller, Markus Kirsch, Peter Palensky, Pedro P. Vergara
2024	J	`jnl`	An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains. CoRR Weijie Xia, Gao Peng, Chenguang Wang, Peter Palensky, Eric J. Pauwels, Pedro P. Vergara
2024	J	`jnl`	Comparative Analysis of Zero-Shot Capability of Time-Series Foundation Models in Short-Term Load Prediction. CoRR Nan Lin, Dong Yun, Weijie Xia, Peter Palensky, Pedro P. Vergara
2024	—	`conf`	Data-Driven Topology Generation with Physics-Guidance in LV Distribution Networks. ISGT EUROPE Dong Liu, Juan S. Giraldo, Peter Palensky, Pedro P. Vergara
2024	J	`jnl`	EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking. CoRR Stavros Orfanoudakis, Cesar Diaz-Londono, Yunus Emre Yilmaz, Peter Palensky, Pedro P. Vergara
2024	J	`jnl`	EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models. CoRR Nan Lin, Peter Palensky, Pedro P. Vergara
2024	—	`conf`	Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems. ISGT EUROPE Hongjin Du, Rashmi Prasad, Aleksandra Lekic, Pedro P. Vergara, Peter Palensky
2024	J	`jnl`	Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems. CoRR Hongjin Du, Rashmi Prasad, Aleksandra Lekic, Pedro P. Vergara, Peter Palensky
2024	—	`conf`	Hybrid Quantum Physics-Informed Neural Networks for Power Flow Analysis. ISGT EUROPE Zeynab Kaseb, Peter Palensky, Pedro P. Vergara
2024	—	`conf`	Linear Reinforcement Learning for Energy Storage Systems Optimal Dispatch. ISGT EUROPE Shuyi Gao, Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara
2024	J	`jnl`	Lower Dimensional Spherical Representation of Medium Voltage Load Profiles for Visualization, Outlier Detection, and Generative Modelling. CoRR Edgar Mauricio Salazar Duque, Bart van der Holst, Pedro P. Vergara, Juan S. Giraldo, Phuong H. Nguyen, Anne van der Molen, Han Slootweg
2024	J	`jnl`	On Future Power Systems Digital Twins: Towards a Standard Architecture. CoRR Wouter Zomerdijk, Peter Palensky, Tarek AlSkaif, Pedro P. Vergara
2024	J	`jnl`	RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks. CoRR Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara
2024	—	`conf`	Reinforcement Learning for Optimized EV Charging Through Power Setpoint Tracking. ISGT EUROPE Yunus Emre Yilmaz, Stavros Orfanoudakis, Pedro P. Vergara
2024	J	`jnl`	Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks. CoRR Shengren Hou, Peter Palensky, Pedro P. Vergara
2024	J	`jnl`	Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems. CoRR Edgar Mauricio Salazar Duque, Juan S. Giraldo, Pedro P. Vergara, Phuong H. Nguyen, Han Slootweg
2024	J	`jnl`	Two-Stage Robust Optimal Operation of Distribution Networks using Confidence Level Based Distributionally Information Gap Decision. CoRR Zhisheng Xiong, Bo Zeng, Peter Palensky, Pedro P. Vergara
2023	J	`jnl`	A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch. CoRR Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara
2023	—	`conf`	Adaptive Activation Functions for Deep Learning-based Power Flow Analysis. ISGT EUROPE Zeynab Kaseb, Yu Xiang, Peter Palensky, Pedro P. Vergara
2023	J	`jnl`	Critical Data Visualization to Enhance Protection Schemes for State Estimation. IEEE Trans. Smart Grid Vinicius B. Braga Flôr, Milton Brown Do Coutto Filho, Julio Cesar Stacchini de Souza, Pedro P. Vergara
2023	J	`jnl`	Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF. CoRR Juan S. Giraldo, Nataly Bañol Arias, Pedro P. Vergara, Maria Vlasiou, Gerwin Hoogsteen, Johann L. Hurink
2023	J	`jnl`	Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation. CoRR Flore Verbist, Nanda Kishor Panda, Pedro P. Vergara, Peter Palensky
2023	J	`jnl`	Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm. CoRR Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque, Peter Palensky
2023	J	`jnl`	PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation. CoRR Nan Lin, Stavros Orfanoudakis, Nathan Ordonez Cardenas, Juan S. Giraldo, Pedro P. Vergara
2023	J	`jnl`	Quantum Neural Networks for Power Flow Analysis. CoRR Zeynab Kaseb, Matthias Möller, Giorgio Tosti Balducci, Peter Palensky, Pedro P. Vergara
2023	—	`conf`	Volt/VAR Optimization in the Presence of Attacks: A Real-Time Co-Simulation Study. SmartGridComm Mohd Asim Aftab, Astha Chawla, Pedro P. Vergara, Shehab Ahmed, Charalambos Konstantinou
2023	J	`jnl`	Volt/VAR Optimization in the Presence of Attacks: A Real-Time Co-Simulation Study. CoRR Mohd Asim Aftab, Astha Chawla, Pedro P. Vergara, Shehab Ahmed, Charalambos Konstantinou
2022	J	`jnl`	Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems. CoRR Suman Rath, Ioannis Zografopoulos, Pedro P. Vergara, Vassilis C. Nikolaidis, Charalambos Konstantinou
2022	—	`conf`	Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. ISGT-Europe Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky
2022	J	`jnl`	Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. CoRR Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky
2021	J	`jnl`	Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data. IEEE Trans. Smart Grid Edgar Mauricio Salazar Duque, Pedro P. Vergara, Phuong H. Nguyen, Anne van der Molen, Johannes G. Slootweg
2019	J	`jnl`	A Generalized Model for the Optimal Operation of Microgrids in Grid-Connected and Islanded Droop-Based Mode. IEEE Trans. Smart Grid Pedro P. Vergara, Juan M. Rey, Juan Camilo López, Marcos J. Rider, Luiz Carlos Pereira da Silva, Hamid Reza Shaker, Bo Nørregaard Jørgensen
2019	J	`jnl`	Distributed Strategy for Optimal Dispatch of Unbalanced Three-Phase Islanded Microgrids. IEEE Trans. Smart Grid Pedro P. Vergara, Juan M. Rey, Hamid Reza Shaker, Josep M. Guerrero, Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva
2019	—	`conf`	Feasibility and Performance Assessment of Commercial PV Inverters Operating with Droop Control for Providing Voltage Support Services. ISGT Europe Pedro P. Vergara, Tam T. Mai, Andrew Burstein, Phuong H. Nguyen
2019	J	`jnl`	Optimal Management of Energy Consumption and Comfort for Smart Buildings Operating in a Microgrid. IEEE Trans. Smart Grid Jerson A. Pinzon, Pedro P. Vergara, Luiz Carlos Pereira da Silva, Marcos J. Rider
2019	J	`jnl`	Optimal Operation of Unbalanced Three-Phase Islanded Droop-Based Microgrids. IEEE Trans. Smart Grid Pedro P. Vergara, Juan Camilo Lopez, Marcos J. Rider, Luiz Carlos Pereira da Silva
2018	—	`conf`	Local hierarchical control for industrial microgrids with improved frequency regulation. ICIT Juan M. Rey, Pedro P. Vergara, Miguel Castilla, Antonio Camacho, Jaume Miret
2017	—	`conf`	An MILP model for optimal management of energy consumption and comfort in smart buildings. ISGT Jerson A. Pinzon, Pedro P. Vergara, Luiz Carlos Pereira da Silva, Marcos J. Rider
2017	—	`conf`	Generalization of the λ-method for decentralized economic dispatch considering reactive resources. ISGT Europe Pedro P. Vergara, Hamid Reza Shaker, Bo Nørregaard Jørgensen, Luiz Carlos Pereira da Silva