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of 284
pro vyhledávání: '"A Letzgus"'
In recent years, Explainable AI (XAI) methods have facilitated profound validation and knowledge extraction from ML models. While extensively studied for classification, few XAI solutions have addressed the challenges specific to regression models. I
Externí odkaz:
http://arxiv.org/abs/2403.07486
Autor:
Letzgus, Simon, Müller, Klaus-Robert
Wind turbine power curve models translate ambient conditions into turbine power output. They are essential for energy yield prediction and turbine performance monitoring. In recent years, increasingly complex machine learning methods have become stat
Externí odkaz:
http://arxiv.org/abs/2304.09835
Autor:
Letzgus, Simon
Accurate wind turbine power curve models, which translate ambient conditions into turbine power output, are crucial for wind energy to scale and fulfill its proposed role in the global energy transition. While machine learning (ML) methods have shown
Externí odkaz:
http://arxiv.org/abs/2210.12104
Autor:
Letzgus, Simon, Wagner, Patrick, Lederer, Jonas, Samek, Wojciech, Müller, Klaus-Robert, Montavon, Gregoire
Publikováno v:
IEEE Signal Processing Magazine (Volume: 39, Issue: 4, July 2022) 40-58
In addition to the impressive predictive power of machine learning (ML) models, more recently, explanation methods have emerged that enable an interpretation of complex non-linear learning models such as deep neural networks. Gaining a better underst
Externí odkaz:
http://arxiv.org/abs/2112.11407
Autor:
Simon Letzgus, Klaus-Robert Müller
Publikováno v:
Energy and AI, Vol 15, Iss , Pp 100328- (2024)
In recent years, increasingly complex machine learning methods have become state-of-the-art in modelling wind turbine power curves based on operational data. While these methods often exhibit superior performance on test sets, they face criticism due
Externí odkaz:
https://doaj.org/article/fd5d3e78b08d451381959fb7e3a73898
Autor:
Jessica Graziella Calegari, Alberto Bisesti, Silvia Pazzaglia, Simone Gambazza, Filippo Binda, Martina Bruno, Laura Chiappa, Alessandra Piatti, Navpreet Tiwana, Matteo Letzgus, Silvana Castaldi, Marcello Sottocorno, Dario Laquintana
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundThe rapid global spread of severe acute respiratory syndrome coronavirus (SARS-CoV-2) was met with the rollout of vaccination campaigns at mass vaccination centers. The Palazzo delle Scintille, Milan, was designated by the Lombardy regional
Externí odkaz:
https://doaj.org/article/3e02d46ab4f04620bd766fedd4c54f6b
Akademický článek
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Publikováno v:
Wind Energy Science, Vol 7, Pp 1551-1573 (2022)
This paper shows the results of computational fluid dynamics (CFD) studies of turbulent flow fields and their effects on a wind turbine in complex terrain. As part of the WINSENT project, a research test site comprising four meteorological masts and
Externí odkaz:
https://doaj.org/article/b8e43f33a5ba412f877f9eaeac0c0cf7
Publikováno v:
Wind Energy Science, Vol 7, Pp 1421-1439 (2022)
This paper shows high-fidelity fluid–structure interaction (FSI) studies applied to the research wind turbine of the WINSENT (Wind Science and Engineering in Complex Terrain) project. In this project, two research wind turbines are going to be erec
Externí odkaz:
https://doaj.org/article/04ac67d615a949e7a96cbddce6170105