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of 6
pro vyhledávání: '"Felix Wege"'
Autor:
Gert Mehlmann, Uwe Kuhnapfel, Felix Wege, Alexander Winkens, Christian Scheibe, Steffen Vogel, Peter Noglik, Michael Gratza, Julian Richter, Moritz Weber, Ilya Burlakin, Ananya Kuri, Timo Wagner, Sebastian Hubschneider, Rafael Poppenborg, Tobias Heins, Kevin Forderer, Andreas Ulbig, Antonello Monti, Veit Hagenmeyer, Matthias Luther
Publikováno v:
IEEE Open Journal of Power Electronics, Vol 4, Pp 987-1002 (2023)
The Kopernikus ENSURE Co-Demonstration Platform enables the investigation of components and processes for the changing power system with grid models adapted to the respective problem. The platform is developed from the power system's perspective. A c
Externí odkaz:
https://doaj.org/article/017b75b1eea24d8495d1b8d0a042274e
Autor:
Felix Wege, Erdem Gumrukcu, Tristan Wortberg, Alexandra Mateeva, Roman Holler, Ferdinanda Ponci, Antonello Monti
Publikováno v:
IEEE Access, Vol 11, Pp 95768-95781 (2023)
Local Energy Communities (LECs) provide a framework for community-oriented use of prosumer-owned renewable generation and storage units. For LECs to gain acceptance and eventually become widespread actors in future energy systems, their impact s on t
Externí odkaz:
https://doaj.org/article/8c21caa013084cb494e34d963383ba37
Publikováno v:
Energies, Vol 16, Iss 16, p 5855 (2023)
Fast digitalization of the power grids and the adoption of innovative software solutions is key to a successful energy transition. In other sectors, such as telecommunication or cloud computing, open-source software has already proven capable of tran
Externí odkaz:
https://doaj.org/article/b35c69862003469a83c0655880c7d859
Publikováno v:
RoboCup 2018: Robot World Cup XXII ISBN: 9783030275433
RoboCup
RoboCup
At RoboCup 2017, the HULKs reached the Standard Platform League’s quarter finals and won the mixed team competition together with our fellow team B-Human. This paper describes the design of a convolutional neural network used for the detection of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05132d3132e6d47f8efc235313daa0cf
https://doi.org/10.1007/978-3-030-27544-0_12
https://doi.org/10.1007/978-3-030-27544-0_12
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2021, Iss 3 (2021)
In recent years, deep learning has become an attractive ingredient to side-channel analysis (SCA) due to its potential to improve the success probability or enhance the performance of certain frequently executed tasks. One task that is commonly assis
Externí odkaz:
https://doaj.org/article/53023fe334d34212a228342ef09e5326
Publikováno v:
Transactions on Cryptographic Hardware and Embedded Systems, Vol 2018, Iss 3 (2018)
The effort in reducing the area of AES implementations has largely been focused on Application-Specific Integrated Circuits (ASICs) in which a tower field construction leads to a small design of the AES S-box. In contrast, a naïve implementation of
Externí odkaz:
https://doaj.org/article/fff5019706ca4189b1663a2a198a2e5a