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P

Pedro P. Vergara

delft university of technology

21H指数
157论文数
1.3K被引数
收录论文 45
发表时间
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SecuLEx: A secure limit exchange market for dynamic operating envelopesSecuLEx：一种动态操作包络的安全限价交易市场
errElectric Power Systems Research
IF4.2
err2026-07-10
err0
PREAI
errMaurizio 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
err分享
err收藏
Physics-informed reinforcement learning for large-scale EV smart charging considering distribution network voltage constraints物理信息强化学习在大规模电动汽车智能充电中的应用，考虑配电网络电压约束
errApplied Energy
IF11
err2026-06-15
err0
errOAAI
errStavros Orfanoudakis; Frans A. Oliehoek; Peter Palensky; Pedro P. Vergara
err分享
err收藏
Physics-informed distributed reinforcement learning for privacy-aware voltage regulation using local smart meter data物理信息分布式强化学习用于利用本地智能电表数据进行隐私感知的电压调节
errEnergy and AI
IF9.6
err2026-05-06
err0
errOAAI
errDong Liu; Juan S. Giraldo; Peter Palensky; Pedro P. Vergara
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err收藏
Optimal operation of distribution networks under asymmetric renewable energy and load demand uncertainties在可再生能源和负荷需求不对称不确定性下的配电网最优运行
errsustainable energy, grids and networks
IF0
err2026-05-04
err0
errOAAI
errZhisheng Xiong; Bo Zeng; Peter Palensky; Pedro P. Vergara
err分享
err收藏
Transformer-based few-shot learning for modeling Electricity Consumption Profiles with minimal data across thousands of domains
errInternational Journal of Electrical Power & Energy Systems
IF5
err2026-01-19
err0
errOAAI
errWeijie Xia; Gao Peng; Chenguang Wang; Peter Palensky; Eric Pauwels; Pedro P. Vergara
err分享
err收藏
A graph neural network enhanced decision transformer for efficient optimization in dynamic smart charging environments动态智能充电环境中高效优化的图神经网络增强决策变换器
errEnergy and AI
IF9.6
err2026-01-16
err0
errOAAI
errStavros Orfanoudakis; Nanda Kishor Panda; Peter Palensky; Pedro P. Vergara
err分享
err收藏
Physics-informed neural network with adaptive activation for power flow融合自适应激活函数的物理信息神经网络用于潮流计算
errInternational Journal of Electrical Power & Energy Systems
IF5
err2026-01-11
err0
errOAAI
errZeynab Kaseb; Stavros Orfanoudakis; Pedro P. Vergara; Peter Palensky
err分享
err收藏
Virtual Power Plant Digital Twins: Ensuring Seamless Deployment via Standard Architectures虚拟电厂数字孪生：通过标准架构确保无缝部署
errIEEE Power and Energy Magazine
IF2.2
err2025-10-24
err0
PREAI
errPedro P. Vergara; Nataly Bañol Arias; Nuran Cihangir Martin; Jose Rueda Torres; Peter Palensky
err分享
err收藏
Open source algorithms for maximizing V2G flexibility based on model predictive control基于模型预测控制以最大化V2G灵活性的开源算法
errElectric Power Systems Research
IF4.2
err2025-08-20
err0
errOAAI
errCesar Diaz-Londono; Stavros Orfanoudakis; Pedro P. Vergara; Peter Palensky; Fredy Ruiz; Giambattista Gruosso
err分享
err收藏
A flow-based model for conditional and probabilistic electricity consumption profile generation一种基于流的方法用于条件性和概率性电力消耗剖面生成
errEnergy and AI
IF9.6
err2025-08-11
err0
errOAAI
errWeijie Xia; Chenguang Wang; Peter Palensky; Pedro P. Vergara
err分享
err收藏
Lower Dimensional Spherical Representation of Medium Voltage Load Profiles for Visualization, Outlier Detection, and Generative Modelling中压负载曲线的低维球面表示：用于可视化、异常值检测和生成建模
errIEEE Transactions on Smart Grid
IF9.8
err2025-08-11
err0
PREAI
errEdgar Mauricio Salazar Duque; Bart van der Holst; Pedro P. Vergara; Juan S. Giraldo; Phuong H. Nguyen; Anne Van der Molen; Han J. G. Slootweg
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High-temporal-resolution dataset of uni-, bidirectional, and dynamic electric vehicle charging profiles高时间分辨率数据集，包含单向、双向和动态电动汽车充电曲线
errScientific Data
IF6.9
err2025-07-10
err0
errOAAI
errMarcel Esser; Stavros Orfanoudakis; Omid Homaee; Vahid Vahidinasab; Pedro P. Vergara; Alfio Spina
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A siamese neural network model for phase identification in distribution networks用于配电网相识别的孪生神经网络模型
errINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
IF5
err2025-06-19
err0
PREAI
errLiu, Dong; Giraldo, Juan S.; Palensky, Peter; Vergara, Pedro P.
err分享
err收藏
Enhanced AC/DC optimal power flow via nested distributed optimization for AC/VSC-MTDC hybrid power systems
errINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
IF5
err2025-03-01
err0
PREAI
errLi, Haixiao; Vergara, Pedro P.; Dimitrovski, Robert; Du, Hongjin; Lekic, Aleksandra
err分享
err收藏
Topology identification and parameters estimation of LV distribution networks using open GIS data
errINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
IF5
err2025-03-01
err1
errOAAI
errLiu, Dong; Giraldo, Juan S.; Palensky, Peter; Vergara, Pedro P.
err分享
err收藏
EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and BenchmarkingEV2Gym: 用于电动汽车智能充电研究和基准测试的灵活V2G模拟器
errIEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
IF8.4
err2025-02-01
err0
PREAI
errOrfanoudakis, Stavros; Diaz-Londono, Cesar; Yilmaz, Yunus Emre; Palensky, Peter; Vergara, Pedro P.
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Tensor power flow formulations for multidimensional analyses in distribution systems用于配电系统中多维分析的张量功率流公式
errINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
IF5
err2024-11-01
err0
errOAAI
errDuque, Edgar Mauricio Salazar; Giraldo, Juan S.; Vergara, Pedro P.; Nguyen, Phuong H.; Slootweg, Han (J. G. )
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Power flow analysis using quantum and digital annealers: a discrete combinatorial optimization approach
errSCIENTIFIC REPORTS
IF3.9
err2024-10-05
err0
errOAAI
errKaseb, Zeynab; Moller, Matthias; Vergara, Pedro P.; Palensky, Peter
err分享
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Quantum neural networks for power flow analysis用于潮流分析的量子神经网络
errELECTRIC POWER SYSTEMS RESEARCH
IF4.2
err2024-10-01
err3
errOAAI
errKaseb, Zeynab; Moller, Matthias; Balducci, Giorgio Tosti; Palensky, Peter; Vergara, Pedro P.
err分享
err收藏
PowerFlowNet: Power flow approximation using message passing Graph Neural NetworksPowerFlowNet: 使用消息传递图神经网络的功率流近似
errINTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
IF5
err2024-09-01
err1
errOAAI
errLin, Nan; Orfanoudakis, Stavros; Cardenas, Nathan Ordonez; Giraldo, Juan S.; Vergara, Pedro P.
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err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
J
Josep M. Guerrero
H 指数: 156 · 论文数: 3.0K
A
Amjad Anvari‐Moghaddam
H 指数: 64 · 论文数: 441
L
Louis Wehenkel
H 指数: 54 · 论文数: 402
F
Federico Milano
H 指数: 52 · 论文数: 462
M
Marcos J. Rider
H 指数: 47 · 论文数: 233
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