activity
20222024
most citedDigital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

95 citations · 134 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2024★ 2 cited

Predictive Digital Twin for Condition Monitoring Using Thermal Imaging

Daniel Menges, Florian Stadtmann, Henrik Jordheim +1

This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and th…

cs.LG2024

Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy

Florian Stadtmann, Adil Rasheed

The demand for condition-based and predictive maintenance is rising across industries, especially for remote, high-value, and high-risk assets. In this article, the diagnostic digi…

cs.CY2024★ 1 cited

Digital Twin for Wind Energy: Latest updates from the NorthWind project

Adil Rasheed, Florian Stadtmann, Eivind Fonn +12

NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and…

eess.SP2024

Data Integration Framework for Virtual Reality Enabled Digital Twins

Florian Stadtmann, Hary Pirajan Mahalingam, Adil Rasheed

Digital twins are becoming increasingly popular across many industries for real-time data streaming, processing, and visualization. They allow stakeholders to monitor, diagnose, an…

physics.flu-dyn2023

Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach

Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed +3

Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution…

eess.SP2023

Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain

Florian Stadtmann, Adil Rasheed, Tore Rasmussen

In this work, a digital twin with standalone, descriptive, and predictive capabilities is created for an existing onshore wind farm located in complex terrain. A standalone digital…

eess.SP2023

Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine

Florian Stadtmann, Henrik Gusdal Wassertheurer, Adil Rasheed

Digital Twins bring several benefits for planning, operation, and maintenance of remote offshore assets. In this work, we explain the digital twin concept and the capability level…

cs.HC2023★ 95 cited

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Florian Stadtman, Adil Rasheed, Trond Kvamsdal +21

This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It c…

astro-ph.CO2022★ 36 cited

CosmicNet II: Emulating extended cosmologies with efficient and accurate neural networks

Sven Günther, Julien Lesgourgues, Georgios Samaras +4

In modern analysis pipelines, Einstein-Boltzmann Solvers (EBSs) are an invaluable tool for obtaining CMB and matter power spectra. To accelerate the computation of these observable…