Abstract
The change from nuclear power to renewable energy currently provides a large part of the ongoing discussions in politics, science and business. From the renewable energies’ standpoint, wind energy shall be a key technology in the future energy mix. Concerning offshore wind energy in Germany there are some projects currently carried out on construction of wind farms and further more are planned. However, large uncertainties still exist due to the gap of experience in the operations of offshore wind farms. It has not been investigated yet, with which key figures they can be controlled, nor what aspects of wind farm management could be automated. Moreover, the use of methods and techniques of BI in this domain have not been researched yet and the existing utilization is just realized in a decent way. For these reasons the University of Oldenburg started to join this field of research. To establish in this area there was a research on a ratio analysis and on a flexible, scalable and modern BI reporting, which entered prototypical the domain of wind farm control, based on a dashboard and a mobile application. This chapter gives an overview of the results of this research.
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Böhm, M., Norkus, O., Stoyanov, D. (2014). Innovative Wind Farm Control. In: Espin, R., Pérez, R., Cobo, A., Marx, J., Valdés, A. (eds) Soft Computing for Business Intelligence. Studies in Computational Intelligence, vol 537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53737-0_14
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DOI: https://doi.org/10.1007/978-3-642-53737-0_14
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