new paper out by Yuriy Marykovskiy

on knowledge engineering for wind energy. The article addresses the challenges faced by wind energy domain experts in converting data into domain knowledge, connecting and integrating them with other sources of knowledge, and making them available for use in next-generation artificial intelligence systems.

by Eleni Chatzi

In this highly collaborative academia-industry work, led by Yuriy Marykovskiy under the supervision of Imad Abdallah and Eleni Chatzi from the Chair of Structural Mechanics and Monitoring at ETH Zurich, and Sarah Barber, Head of Wind Energy Innovation Division at Eastern Switzerland University of Applied Sciences (OST), in collaboration with Thomas Clark from Octue, Justin Day from Pacific Northwest National Laboratory, Marcus Wiens from Fraunhofer Institute for Wind Energy Systems, Charles Henderson from Stacker Group, Julian Quick and Anna Maria Sempreviva from Department of Wind and Energy Systems at Technical University of Denmark, and Jean-Paul Calbimonte from University of Applied Sciences and Arts Western Switzerland HES-SO, we explore the integration of knowledge engineering in the wind energy sector, focusing on its role in the digital transformation and the development of AI systems. 

This review presents the main concepts underpinning Knowledge-Based Systems and summarises previous work in the areas of knowledge engineering and knowledge representation in a manner that is relevant and accessible to wind energy domain experts. A systematic analysis of the current state-of-the-art on knowledge engineering in the wind energy domain is performed, with available tools put into perspective by establishing the main domain actors and their needs, as well as identifying key problematic areas. Finally, recommendations for further development and improvement are provided. 

A portion of this work is funded by the BRIDGE Discovery Programme of the Swiss National Science Foundation and Innosuisse (Project Number 40B2-0_187087). A portion of this work was supported by the Wind Data Hub funded by U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy’s Wind Energy Technologies Office operated and maintained by Pacific Northwest National Laboratory.

read more in external pageVolume 9 of the Wind Energy Science journal

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