E-LIB Suche - Ergebnisse für: Palensky, Peter

1

Stable Training of Probabilistic Models Using the Leave-One..:

Bölat, Kutay ; Tindemans, Simon H ; Palensky, Peter
http://arxiv.org/abs/2310.03556. , 2023

Link: http://arxiv.org/abs/231..

2

Towards Scalable FMI-based Co-simulation of Wind Energy Sys..:

van der Meer, Arjen A ; Bhandia, Rishabh ; Widl, Edmund...
http://arxiv.org/abs/2309.15727. , 2023

Link: http://arxiv.org/abs/230..

3

Targeted Analysis of High-Risk States Using an Oriented Var..:

Wang, Chenguang ; Sharifnia, Ensieh ; Tindemans, Simon H.
http://arxiv.org/abs/2303.11410. , 2023

Link: http://arxiv.org/abs/230..

4

Optimal Energy System Scheduling Using A Constraint-Aware R..:

Shengren, Hou ; Vergara, Pedro P ; Duque, Edgar Mauricio Salazar.
http://arxiv.org/abs/2305.05484. , 2023

Link: http://arxiv.org/abs/230..

5

Quantum Neural Networks for Power Flow Analysis:

Kaseb, Zeynab ; Moller, Matthias ; Balducci, Giorgio Tosti..
http://arxiv.org/abs/2311.06293. , 2023

Link: http://arxiv.org/abs/231..

6

Impact of Dynamic Tariffs for Smart EV Charging on LV Distr..:

Verbist, Flore ; Panda, Nanda Kishor ; Vergara, Pedro P.
http://arxiv.org/abs/2306.10775. , 2023

Link: http://arxiv.org/abs/230..

7

A Constraint Enforcement Deep Reinforcement Learning Framew..:

Hou, Shengren ; Duque, Edgar Mauricio Salazar ; Palensky, Peter.
http://arxiv.org/abs/2307.14304. , 2023

Link: http://arxiv.org/abs/230..

8

Generating Contextual Load Profiles Using a Conditional Var..:

Wang, Chenguang ; Tindemans, Simon H ; Palensky, Peter
http://arxiv.org/abs/2209.04056. , 2022

Link: http://arxiv.org/abs/220..

9

Performance Comparison of Deep RL Algorithms for Energy Sys..:

Shengren, Hou ; Salazar, Edgar Mauricio ; Vergara, Pedro P.
http://arxiv.org/abs/2208.00728. , 2022

Link: http://arxiv.org/abs/220..

10

Optimal dispatch of PV inverters in unbalanced distribution..:

Vergara, Pedro P ; Salazar, Mauricio ; Giraldo, Juan S.
Vergara , P P , Salazar , M , Giraldo , J S & Palensky , P 2022 , ' Optimal dispatch of PV inverters in unbalanced distribution systems using Reinforcement Learning ' , International Journal of Electrical Power and Energy Systems , vol. 136 , 107628 . https://doi.org/10.1016/j.ijepes.2021.107628. , 2022

Link: https://research.tue.nl/..

11

Stability and Accuracy Analysis of a Distributed Digital Re..:

Barbierato, Luca ; Pons, Enrico ; Mazza, Andrea...
info:eu-repo/semantics/altIdentifier/wos/WOS:000799279300026. , 2022

Link: http://hdl.handle.net/11..

12

A Contribution to the Development of High-Voltage dc Circui..:

Liu, Zhou ; Mirhosseini, Seyed ; Liu, Lian...
https://vbn.aau.dk/da/publications/e3c426fb-9dca-44b9-b3dc-e701d043bbbc. , 2022

Link: https://vbn.aau.dk/da/pu..

13

Incorporating Power Electronic Converters Reliability into ..:

Peyghami, Saeed ; Blaabjerg, Frede ; Palensky, Peter
https://vbn.aau.dk/da/publications/6a0d5ecc-7fca-401c-94a0-e723bb23a17e. , 2021

Link: https://vbn.aau.dk/da/pu..

14

Generating Multivariate Load States Using a Conditional Var..:

Wang, Chenguang ; Sharifnia, Ensieh ; Gao, Zhi..
http://arxiv.org/abs/2110.11435. , 2021

Link: http://arxiv.org/abs/211..

15

Assessment of Under-Frequency Load Shedding in Mongolia Con..:

Adiyabazar, Choidorj ; Acosta Montalvo, Martha Nohemi ; Gonzalez-Longatt, Francisco..
2020 IEEE PES Innovative Smart Grid Technologies Europe - ISGT-Europe. , 2020

Link: https://hdl.handle.net/1..