000014349 001__ 14349
000014349 005__ 20250219153441.0
000014349 022__ $$a2366-7451
000014349 0247_ $$2DOI$$a10.5194/wes-9-883-2024
000014349 037__ $$aARTICLE
000014349 039_9 $$a2025-02-19 15:34:41$$b1000189$$c2024-11-22 13:32:52$$d0$$c2024-11-21 13:50:03$$d1000189$$c2024-05-29 12:01:18$$d1001805$$c2024-05-29 11:59:52$$d0$$y2024-05-29 11:59:44$$z1001805
000014349 041__ $$aeng
000014349 245__ $$aKnowledge engineering for wind energy
000014349 260__ $$aGöttingen, Germany$$bCopernicus Publications
000014349 269__ $$a2024-04
000014349 300__ $$a35 p.
000014349 506__ $$avisible
000014349 520__ $$9eng$$aWith the rapid evolution of the wind energy sector, there is an ever-increasing need to create value from the vast amounts of data made available both from within the domain and from other sectors. This article addresses the challenges faced by wind energy domain experts in converting data into domain knowledge, connecting and integrating them with other sources of knowledge, and making them available for use in next-generation artificial intelligence systems. To this end, this article highlights the role that knowledge engineering can play in the digital transformation of the wind energy sector. It presents the main concepts underpinning knowledge-based systems and summarises previous work in the areas of knowledge engineering and knowledge representation in a manner that is relevant and accessible to wind energy domain experts. A systematic analysis of the current state of the art on knowledge engineering in the wind energy domain is performed with available tools put into perspective by establishing the main domain actors and their needs, as well as identifying key problematic areas. Finally, recommendations for further development and improvement are provided.
000014349 540__ $$acorrect
000014349 592__ $$aHEG-VS
000014349 592__ $$bInstitut Informatique de gestion
000014349 592__ $$cEconomie et Services
000014349 65017 $$aEconomie/gestion
000014349 65017 $$aInformatique
000014349 655__ $$ascientifique
000014349 700__ $$aMarykovskiy, Yuriy$$uInstitute of Structural Engineering (IBK), Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland ; Institute for Energy Technology, Eastern Switzerland University of Applied Sciences (OST), Rapperswil, Switzerland
000014349 700__ $$aClark, Thomas$$uOctue Ltd, British Antarctic Survey, High Cross, Madingley Road, CB3 0ET Cambridge, UK
000014349 700__ $$aDay, Justin$$uPacific Northwest National Laboratory, Richland, Washington, USA
000014349 700__ $$aWiens, Marcus$$uFraunhofer Institute for Wind Energy Systems IWES, Bremerhaven, Germany
000014349 700__ $$aHenderson, Charles$$uStacker Group, 708 Altavista Ave., Charlottesville, VA, USA
000014349 700__ $$aQuick, Julian$$uDepartment of Wind and Energy Systems, Technical University of Denmark, Risø Campus Frederiksborgvej, Roskilde, Denmark
000014349 700__ $$aAbdallah, Imad$$uInstitute of Structural Engineering (IBK), Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
000014349 700__ $$aSempreviva, Anna Maria$$uDepartment of Wind and Energy Systems, Technical University of Denmark, Risø Campus Frederiksborgvej, Roskilde, Denmark
000014349 700__ $$aCalbimonte, Jean-Paul$$uSchool of Management, HES-SO University of Applied Sciences and Arts Western Switzerland Valais
000014349 700__ $$aChatzi, Eleni$$uInstitute of Structural Engineering (IBK), Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland
000014349 700__ $$aBarber, Sarah$$uInstitute for Energy Technology, Eastern Switzerland University of Applied Sciences (OST), Rapperswil, Switzerland
000014349 773__ $$tWind Energy Science$$j2024, 9$$k4$$q883-917
000014349 8564_ $$yPublished version$$9b909b5c6-e8fd-44d8-86f3-8122d06d271a$$s2348231$$uhttps://arodes.hes-so.ch/record/14349/files/Calbimonte_2024_Knowledge_engineering.pdf
000014349 906__ $$aGOLD
000014349 909CO $$ooai:hesso.tind.io:14349$$pECONOMIESERVICES_ALL$$pGLOBAL_SET
000014349 950__ $$aI2
000014349 980__ $$ascientifique
000014349 981__ $$ascientifique