Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Frank Sehnke"'
Autor:
Sarah Barber, Unai Izagirre, Oscar Serradilla, Jon Olaizola, Ekhi Zugasti, Jose Ignacio Aizpurua, Ali Eftekhari Milani, Frank Sehnke, Yoshiaki Sakagami, Charles Henderson
Publikováno v:
Energies, Vol 16, Iss 8, p 3567 (2023)
In this paper, a set of best practice data sharing guidelines for wind turbine fault detection model evaluation is developed, which can help practitioners overcome the main challenges of digitalisation. Digitalisation is one of the key drivers for re
Externí odkaz:
https://doaj.org/article/d6d191a0e3674cac9897ab3b94aeb524
Autor:
Frank Sehnke, Anton Kaifel
Publikováno v:
BWK ENERGIE.. 74:30-32
Künstliche Intelligenz (KI) spielt bei der Energiewende eine bedeutende Rolle. Selbstlernende Verfahren helfen dabei, die Wind- und Solareinspeisung besser vorherzusagen oder Entwicklung und Produktion von Brennstoffzellen, Batterien und e-Fuels zu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74ce905532888bbc088cbc6e1a338dee
https://doi.org/10.37544/1618-193x-2022-3-4-30
https://doi.org/10.37544/1618-193x-2022-3-4-30
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2200d878f2180674ce9ed2827acbdbca
https://doi.org/10.2139/ssrn.4162772
https://doi.org/10.2139/ssrn.4162772
Autor:
Bartolomé Manobel, Frank Sehnke, Martin Felder, Sonia Montecinos, Juan A. Lazzús, Ignacio Salfate
Publikováno v:
Renewable Energy. 125:1015-1020
An accurate estimation of the wind turbine power curve is a key issue to the provision of the electricity that the wind farm will transfer to the grid and for a correct evaluation of the performance of each turbine. Artificial Neural Networks (ANN) h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea1c2c8c23818189f79fb9755e4bd232
https://doi.org/10.1016/j.renene.2018.02.081
https://doi.org/10.1016/j.renene.2018.02.081
Publikováno v:
Advances in Geosciences, Vol 45, Pp 13-17 (2018)
Usually, neural networks trained on historical feed-in time series of wind turbines deterministically predict power output over the next hours to days. Here, the training goal is to minimise a scalar cost function, often the root mean square error (R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caa1b7da10554d944a2b34c0c079ae56
https://www.adv-geosci.net/45/13/2018/adgeo-45-13-2018.pdf
https://www.adv-geosci.net/45/13/2018/adgeo-45-13-2018.pdf
Publikováno v:
Energy Procedia. 73:190-199
The storage of fluctuating energy production is a major challenge on the pathway to a fully renewable electricity supply. This paper investigates the role of Power-to-Gas (PtG) as a key storage technology in the fulfilment of the Energiewende. This s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::647b4a1135ffb9e6d8443df725262a3e
https://doi.org/10.1016/j.egypro.2015.07.670
https://doi.org/10.1016/j.egypro.2015.07.670
Publikováno v:
Atmospheric Measurement Techniques, Vol 10, Pp 3547-3573 (2017)
Cirrus clouds play an important role in climate as they tend to warm the Earth–atmosphere system. Nevertheless their physical properties remain one of the largest sources of uncertainty in atmospheric research. To better understand the physical pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e99e666f9f4442fd6af9545523aeb06
http://elib.dlr.de/114488/
http://elib.dlr.de/114488/
Autor:
Vera Stoyanova, Gideon Dror, Xiaolin Xu, Wayne Burleson, Jürgen Schmidhuber, Ahmed Mahmoud, Ulrich Rührmair, Frank Sehnke, Srinivas Devadas, Jan Sölter
Publikováno v:
MIT web domain
We discuss numerical modeling attacks on several proposed strong physical unclonable functions (PUFs). Given a set of challenge-response pairs (CRPs) of a Strong PUF, the goal of our attacks is to construct a computer algorithm which behaves indistin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c4b94666df02227f14c34cc067202df
https://doi.org/10.1109/tifs.2013.2279798
https://doi.org/10.1109/tifs.2013.2279798
The storage of fluctuating energy production is a major challenge on the pathway to a fully renewable electricity supply. This paper investigates the impact of the storage technology Power-to-Gas (PtG) in the implementation of the Energiewende. A det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec21185e8ca141da75ac8397b5fef787
https://publica.fraunhofer.de/handle/publica/246862
https://publica.fraunhofer.de/handle/publica/246862
Publikováno v:
Paladyn: Journal of Behavioral Robotics, Vol 1, Iss 1, Pp 14-24 (2010)
This paper discusses parameter-based exploration methods for reinforcement learning. Parameter-based methods perturb parameters of a general function approximator directly, rather than adding noise to the resulting actions. Parameter-based exploratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bfe041169e61cbf6d4820d748f20dad
https://doaj.org/article/1d7d7f4ee4c14115b57878db43f50fab
https://doaj.org/article/1d7d7f4ee4c14115b57878db43f50fab