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Pedro P. Vergara
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2020 – today
- 2024
- [i19]Edgar Mauricio Salazar Duque, Juan S. Giraldo, Pedro P. Vergara, Phuong H. Nguyen, Han Slootweg:
Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems. CoRR abs/2403.04578 (2024) - [i18]Stavros Orfanoudakis, Cesar Diaz-Londono, Yunus E. Yilmaz, Peter Palensky, Pedro P. Vergara:
EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking. CoRR abs/2404.01849 (2024) - [i17]Wouter Zomerdijk, Peter Palensky, Tarek AlSkaif, Pedro P. Vergara:
On Future Power Systems Digital Twins: Towards a Standard Architecture. CoRR abs/2404.02568 (2024) - [i16]Weijie Xia, Chenguang Wang, Peter Palensky, Pedro P. Vergara:
A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction. CoRR abs/2405.02180 (2024) - [i15]Cesar Diaz-Londono, Stavros Orfanoudakis, Pedro P. Vergara, Peter Palensky, Fredy Ruiz, Giambattista Gruosso:
A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive Control. CoRR abs/2405.11963 (2024) - [i14]Hongjin Du, Rashmi Prasad, Aleksandra Lekic, Pedro P. Vergara, Peter Palensky:
Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems. CoRR abs/2406.14251 (2024) - [i13]Nan Lin, Peter Palensky, Pedro P. Vergara:
EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models. CoRR abs/2407.13538 (2024) - [i12]Shengren Hou, Shuyi Gao, Weijie Xia, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara:
RL-ADN: A High-Performance Deep Reinforcement Learning Environment for Optimal Energy Storage Systems Dispatch in Active Distribution Networks. CoRR abs/2408.03685 (2024) - [i11]Weijie Xia, Gao Peng, Chenguang Wang, Peter Palensky, Eric J. Pauwels, Pedro P. Vergara:
An Efficient and Explainable Transformer-Based Few-Shot Learning for Modeling Electricity Consumption Profiles Across Thousands of Domains. CoRR abs/2408.08399 (2024) - [i10]Rashmi Prasad, Pedro P. Vergara, Narayana Prasad Padhy, Robert Dimitrovski, Aleksandra Lekic:
A Screening Method for Power System Inertia Zones Identification. CoRR abs/2409.19995 (2024) - 2023
- [j6]Vinicius B. Braga Flôr
, Milton Brown Do Coutto Filho
Critical Data Visualization to Enhance Protection Schemes for State Estimation. IEEE Trans. Smart Grid 14(2): 1249-1261 (2023) - [c7]Zeynab Kaseb
Adaptive Activation Functions for Deep Learning-based Power Flow Analysis. ISGT EUROPE 2023: 1-5 - [c6]Mohd Asim Aftab, Astha Chawla, Pedro P. Vergara, Shehab Ahmed, Charalambos Konstantinou
Volt/VAR Optimization in the Presence of Attacks: A Real-Time Co-Simulation Study. SmartGridComm 2023: 1-7 - [i9]Juan S. Giraldo
Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF. CoRR abs/2301.00564 (2023) - [i8]Hou Shengren, Pedro P. Vergara, Edgar Mauricio Salazar Duque, Peter Palensky:
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm. CoRR abs/2305.05484 (2023) - [i7]Flore Verbist, Nanda Kishor Panda, Pedro P. Vergara, Peter Palensky:
Impact of Dynamic Tariffs for Smart EV Charging on LV Distribution Network Operation. CoRR abs/2306.10775 (2023) - [i6]Shengren Hou, Edgar Mauricio Salazar Duque, Peter Palensky, Pedro P. Vergara:
A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch. CoRR abs/2307.14304 (2023) - [i5]Mohd Asim Aftab, Astha Chawla, Pedro P. Vergara, Shehab Ahmed, Charalambos Konstantinou
Volt/VAR Optimization in the Presence of Attacks: A Real-Time Co-Simulation Study. CoRR abs/2308.15797 (2023) - [i4]Nan Lin, Stavros Orfanoudakis, Nathan Ordonez Cardenas, Juan S. Giraldo, Pedro P. Vergara:
PowerFlowNet: Leveraging Message Passing GNNs for Improved Power Flow Approximation. CoRR abs/2311.03415 (2023) - [i3]Zeynab Kaseb, Matthias Möller, Giorgio Tosti Balducci, Peter Palensky, Pedro P. Vergara:
Quantum Neural Networks for Power Flow Analysis. CoRR abs/2311.06293 (2023) - 2022
- [c5]Hou Shengren
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. ISGT-Europe 2022: 1-6 - [i2]Suman Rath, Ioannis Zografopoulos
Behind Closed Doors: Process-Level Rootkit Attacks in Cyber-Physical Microgrid Systems. CoRR abs/2202.09831 (2022) - [i1]Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky:
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. CoRR abs/2208.00728 (2022) - 2021
- [j5]Edgar Mauricio Salazar Duque
Conditional Multivariate Elliptical Copulas to Model Residential Load Profiles From Smart Meter Data. IEEE Trans. Smart Grid 12(5): 4280-4294 (2021)
2010 – 2019
- 2019
- [j4]Pedro P. Vergara
Optimal Operation of Unbalanced Three-Phase Islanded Droop-Based Microgrids. IEEE Trans. Smart Grid 10(1): 928-940 (2019) - [j3]Pedro P. Vergara
Distributed Strategy for Optimal Dispatch of Unbalanced Three-Phase Islanded Microgrids. IEEE Trans. Smart Grid 10(3): 3210-3225 (2019) - [j2]Jerson A. Pinzon
Optimal Management of Energy Consumption and Comfort for Smart Buildings Operating in a Microgrid. IEEE Trans. Smart Grid 10(3): 3236-3247 (2019) - [j1]Pedro P. Vergara
A Generalized Model for the Optimal Operation of Microgrids in Grid-Connected and Islanded Droop-Based Mode. IEEE Trans. Smart Grid 10(5): 5032-5045 (2019) - [c4]Pedro P. Vergara
Feasibility and Performance Assessment of Commercial PV Inverters Operating with Droop Control for Providing Voltage Support Services. ISGT Europe 2019: 1-5 - 2018
- [c3]Juan M. Rey
Local hierarchical control for industrial microgrids with improved frequency regulation. ICIT 2018: 1019-1024 - 2017
- [c2]Jerson A. Pinzon, Pedro P. Vergara
An MILP model for optimal management of energy consumption and comfort in smart buildings. ISGT 2017: 1-5 - [c1]Pedro P. Vergara
Generalization of the λ-method for decentralized economic dispatch considering reactive resources. ISGT Europe 2017: 1-6
Coauthor Index
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