@article{Marykovskiy:14349,
      recid = {14349},
      author = {Marykovskiy, Yuriy and Clark, Thomas and Day, Justin and  Wiens, Marcus and Henderson, Charles and Quick, Julian and  Abdallah, Imad and Sempreviva, Anna Maria and Calbimonte,  Jean-Paul and Chatzi, Eleni and Barber, Sarah},
      title = {Knowledge engineering for wind energy},
      publisher = {Copernicus Publications},
      journal = {Wind Energy Science},
      address = {Göttingen, Germany. 2024-04},
      number = {ARTICLE},
      pages = {35 p.},
      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  and from other sectors. This 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. To this end, this article highlights  the role that knowledge engineering can play in the 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 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.},
      url = {http://arodes.hes-so.ch/record/14349},
      doi = {https://doi.org/10.5194/wes-9-883-2024},
}