Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 259–284, 2020
https://doi.org/10.5194/wes-5-259-2020
Wind Energ. Sci., 5, 259–284, 2020
https://doi.org/10.5194/wes-5-259-2020

Research article 27 Feb 2020

Research article | 27 Feb 2020

WESgraph: a graph database for the wind farm domain

Erik Quaeghebeur et al.

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Cited articles

Bollacker, K., Evans, C., Paritosh, P., Sturge, T., and Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge, in: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, ACM, June 2008, Vancouver, Canada, 1247–1250, https://doi.org/10.1145/1376616.1376746, 2008. a
Brand, A. J. and Wagenaar, J. W.: A quasi-steady wind farm flow model, in: Proceedings of the European Wind Energy Conference (EWEC 2010), 20–23 April 2010, Warsaw, Poland, 2010. a
Brandes, U., Eiglsperger, M., Herman, I., Himsolt, M., and Marshall, M. S.: GraphML Progress Report: Structural Layer Proposal, in: Graph Drawing, vol. 2265 of LNCS, edited by: Mutzel, P., Jünger, M., and Leipert, S., Springer-Verlag, Berlin, Heidelberg, 501–512, https://doi.org/10.1007/3-540-45848-4_59, 2002. a
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Short summary
The design and management of an offshore wind farm involve expertise in many disciplines. It is hard for a single person to maintain the overview needed. Therefore, we have created WESgraph, a knowledge base for the wind farm domain, implemented as a graph database. It stores descriptions of the multitude of domain concepts and their various interconnections. It allows users to explore the domain and search for relationships within and across disciplines, enabling various applications.