Tillmann Mühlpfordt

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	701	580
h-индекс	14	13
i10-индекс	19	16

140

105

20162017201820192020202120222023202420254 12 42 62 101 94 121 120 124 20

Публичен достъп

Преглед на всички

15 статии

3 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Timm FaulwasserProfessor, Hamburg University of TechnologyПотвърден имейл адрес: tuhh.de
Veit HagenmeyerKITПотвърден имейл адрес: kit.edu
Alexander Engelmannlogarithmo GmbH & Co. KGПотвърден имейл адрес: ieee.org
Boris HouskaShanghaiTech UniversityПотвърден имейл адрес: shanghaitech.edu.cn
Yuning JiangEPFLПотвърден имейл адрес: ieee.org
Line RoaldUniversity of Wisconsin-MadisonПотвърден имейл адрес: wisc.edu
Sidhant MisraScientist, Applied Mathematics Los Alamos National LaboratoryПотвърден имейл адрес: lanl.gov
Rolf FindeisenTU DarmstadtПотвърден имейл адрес: iat.tu-darmstadt.de
Ralf MikutKarlsruhe Institute of Technology (Germany)Потвърден имейл адрес: kit.edu
Mads R. AlmassalkhiAssociate Professor, University of Vermont (Burlington)Потвърден имейл адрес: uvm.edu
Chris ManzieProfessor in Electrical and Electronic Engineering, University of MelbourneПотвърден имейл адрес: unimelb.edu.au
Jorge Ángel González-OrdianoUniversidad Iberoamericana Ciudad de MéxicoПотвърден имейл адрес: ibero.mx
Simon WaczowiczKarlsruhe Institute of Technology (Germany)Потвърден имейл адрес: kit.edu
Simone GöttlichProfessor of Mathematics, University of MannheimПотвърден имейл адрес: uni-mannheim.de
Joel PaulsonAssistant Professor of Chemical and Biomolecular Engineering, The Ohio State UniversityПотвърден имейл адрес: osu.edu
Richard D. BraatzEdwin R. Gilliland Professor, Massachusetts Institute of TechnologyПотвърден имейл адрес: mit.edu
Daniel K. MolzahnAssistant Professor at the Georgia Institute of Technology. Computational Engineer at ArgonneПотвърден имейл адрес: gatech.edu
Markus ReischlKarlsruhe Institute of TechnologyПотвърден имейл адрес: kit.edu
Benedikt HeidrichData Scientist, MBTI; former KITПотвърден имейл адрес: mercedes-benz.com
Riccardo Remo AppinoTerna s.p.a.

Следене

Tillmann Mühlpfordt

DB Systel

Потвърден имейл адрес: mailbox.org

optimal control uncertainty quantification energy systems model predictive control


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Toward distributed OPF using ALADIN A Engelmann, Y Jiang, T Mühlpfordt, B Houska, T Faulwasser IEEE Transactions on Power Systems 34 (1), 584-594, 2018	123	2018
Chance-constrained AC optimal power flow: A polynomial chaos approach T Mühlpfordt, L Roald, V Hagenmeyer, T Faulwasser, S Misra IEEE Transactions on Power Systems 34 (6), 4806-4816, 2019	89	2019
A generalized framework for chance-constrained optimal power flow T Mühlpfordt, T Faulwasser, V Hagenmeyer arXiv preprint arXiv:1803.08299, 2018	60	2018
Distributed AC optimal power flow using ALADIN A Engelmann, T Mühlpfordt, Y Jiang, B Houska, T Faulwasser IFAC-PapersOnLine 50 (1), 5536-5541, 2017	51	2017
Distributed power flow and distributed optimization—formulation, solution, and open source implementation T Mühlpfordt, X Dai, A Engelmann, V Hagenmeyer Sustainable Energy, Grids and Networks 26, 100471, 2021	44	2021
Comments on truncation errors for polynomial chaos expansions T Mühlpfordt, R Findeisen, V Hagenmeyer, T Faulwasser IEEE Control Systems Letters 2 (1), 169-174, 2017	41	2017
Solving stochastic ac power flow via polynomial chaos expansion T Mühlpfordt, T Faulwasser, V Hagenmeyer 2016 IEEE Conference on Control Applications (CCA), 70-76, 2016	40	2016
Optimal power flow: an introduction to predictive, distributed and stochastic control challenges T Faulwasser, A Engelmann, T Mühlpfordt, V Hagenmeyer at-Automatisierungstechnik 66 (7), 573-589, 2018	36	2018
Solving optimal power flow with non-Gaussian uncertainties via polynomial chaos expansion T Mühlpfordt, T Faulwasser, L Roald, V Hagenmeyer 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 4490-4496, 2017	34	2017
PolyChaos. jl—A Julia package for polynomial chaos in systems and control T Mühlpfordt, F Zahn, V Hagenmeyer, T Faulwasser IFAC-PapersOnLine 53 (2), 7210-7216, 2020	21	2020
Distributed stochastic AC optimal power flow based on polynomial chaos expansion A Engelmann, T Mühlpfordt, Y Jiang, B Houska, T Faulwasser 2018 Annual American Control Conference (ACC), 6188-6193, 2018	20	2018
Distributed control of charging for electric vehicle fleets under dynamic transformer ratings M Botkin-Levy, A Engelmann, T Mühlpfordt, T Faulwasser, ... IEEE Transactions on Control Systems Technology 30 (4), 1578-1594, 2021	19	2021
Probabilistic forecasts of the distribution grid state using data-driven forecasts and probabilistic power flow JÁ González-Ordiano, T Mühlpfordt, E Braun, J Liu, H Çakmak, ... Applied energy 302, 117498, 2021	16	2021
Nonlinear model predictive missile control with a stabilising terminal constraint V Bachtiar, T Mühlpfordt, WH Moase, T Faulwasser, R Findeisen, ... IFAC Proceedings Volumes 47 (3), 457-462, 2014	16	2014
Analytical uncertainty propagation for multi-period stochastic optimal power flow R Bauer, T Mühlpfordt, N Ludwig, V Hagenmeyer Sustainable Energy, Grids and Networks 33, 100969, 2023	12	2023
On solving probabilistic load flow for radial grids using polynomial chaos RR Appino, T Mühlpfordt, T Faulwasser, V Hagenmeyer 2017 IEEE Manchester PowerTech, 1-6, 2017	12	2017
On polynomial real-time control policies in stochastic AC optimal power flow T Mühlpfordt, T Faulwasser, V Hagenmeyer, L Roald, S Misra Electric power systems research 189, 106792, 2020	10	2020
Optimal adaptive power flow linearizations: Expected error minimization using polynomial chaos expansion T Mühlpfordt, V Hagenmeyer, DK Molzahn, S Misra 2019 IEEE Milan PowerTech, 1-6, 2019	10	2019
Output feedback model predictive control with probabilistic uncertainties for linear systems T Mühlpfordt, JA Paulson, RD Braatz, R Findeisen 2016 American Control Conference (ACC), 2035-2040, 2016	10	2016
Uncertainty quantification via polynomial chaos expansion–Methods and applications for optimization of power systems T Mühlpfordt Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2019, 2020	9	2020

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