Knowledge Engineering for Wind Energy
- URL: http://arxiv.org/abs/2310.00804v1
- Date: Sun, 1 Oct 2023 22:06:10 GMT
- Title: Knowledge Engineering for Wind Energy
- Authors: Yuriy Marykovskiy, Thomas Clark, Justin Day, Marcus Wiens, Charles
Henderson, Julian Quick, Imad Abdallah, Anna Maria Sempreviva, Jean-Paul
Calbimonte, Eleni Chatzi and Sarah Barber
- Abstract summary: This article addresses the challenges faced by wind energy domain experts in converting data into domain knowledge.
It highlights the role that knowledge engineering can play in the process of digital transformation of the wind energy sector.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: With the rapid evolution of the wind energy sector, there is an
ever-increasing need to create value from the vast amounts of data made
available both from within the domain, as well as from other sectors. This
article addresses the challenges faced by wind energy domain experts in
converting data into domain knowledge, connecting and integrating it with other
sources of knowledge, and making it available for use in next generation
artificially intelligent systems. To this end, this article highlights the role
that knowledge engineering can play in the process of digital transformation of
the wind energy sector. It 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 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 and identifying key problematic areas. Finally,
guidelines for further development and improvement are provided.
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