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Performance of power optimizer versus string inverter systems [poster].

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21. Schweizer Photovoltaik-Tagung, Bern, Schweiz, 20.-21. März 2023.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

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Benasla, Mokhtar; Segundo Sevilla, Felix Rafael; Korba, Petr; Allaoui, Tayeb; Denaï, Mouloud,

2023.

A criterion for designing emergency control schemes to counteract communication failures in wide-area damping control.

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Stähli, Patrick; Brenner, Lorenz; Zahnd, André; Tillenkamp, Frank,

2023.

Computer vision method for analyzing the oscillation and displacement of specimens during mechanical shock tests [paper].

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26th Symposium of Military Aspects of Blast and Shock (MABS26), Wollongong, Australia, 3-8 December 2023.

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ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

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Banica, Marius Christian; Altorfer, Tim; Inauen, Jan; Wichser, Dario; Dudli, David; Weber Sutter, Markus; Madi, Matteo; Yao, Yang; Mezzenga, Raffaele,

2023.

Conceptual assessment of a lipid-based liquid water storage system for lunar life support and exploration.

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36(6), pp. 04023084.

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John, Tony; Acharya, Vishal; Bothien, Mirko; Lieuwen, Timothy,

2023.

Dynamics of coupled thermoacoustic modes : noise and frequency spacing effects.

Combustion and Flame.

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Ibañez, Alfredo Velazquez; Rodriguez Rodriguez, Juan R.; Paternina, Mario; Segundo Sevilla, Felix Rafael; Korba, Petr,

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Experimental platform P-HIL for BESS-interfaced active distribution grids [paper].

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Jenni, Christian; Altorfer, Tim; Ganz, Mirco; Düzel, Sven; Brenner, Lorenz; Zahnd, André; Tillenkamp, Frank,

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Fluid-structure-interaction simulation of passive air blast safety valves [paper].

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ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

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McClure, Jonathan; Bothien, Mirko; Sattelmayer, Thomas,

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High-frequency mode shape dependent flame-acoustic interactions in reheat flames.

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Allenspach, Cyril Armand,

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Module level power electronics dynamic and static performance in partial shaded photovoltaic systems.

Winterthur:

ZHAW Zurich University of Applied Sciences.

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Monitoring and control of electrical power systems using machine learning techniques.

Elsevier.

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