Short term wind and energy prediction for offshore wind farms using neural networks
S. Balluff, J. Bendfeld, S. Krauter, in: 2015 International Conference on Renewable Energy Research and Applications (ICRERA), IEEE, 2016.
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Conference Paper
| Published
| English
Author
Department
Publishing Year
Proceedings Title
2015 International Conference on Renewable Energy Research and Applications (ICRERA)
Conference
4th International Conference on Renewable Energy Research and Applications
Conference Location
Palermo, Italy
Conference Date
2015-11 – 2015-11
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Balluff S, Bendfeld J, Krauter S. Short term wind and energy prediction for offshore wind farms using neural networks. In: 2015 International Conference on Renewable Energy Research and Applications (ICRERA). IEEE; 2016. doi:10.1109/icrera.2015.7418440
Balluff, S., Bendfeld, J., & Krauter, S. (2016). Short term wind and energy prediction for offshore wind farms using neural networks. In 2015 International Conference on Renewable Energy Research and Applications (ICRERA). Palermo, Italy: IEEE. https://doi.org/10.1109/icrera.2015.7418440
@inproceedings{Balluff_Bendfeld_Krauter_2016, title={Short term wind and energy prediction for offshore wind farms using neural networks}, DOI={10.1109/icrera.2015.7418440}, booktitle={2015 International Conference on Renewable Energy Research and Applications (ICRERA)}, publisher={IEEE}, author={Balluff, Stefan and Bendfeld, Jörg and Krauter, Stefan}, year={2016} }
Balluff, Stefan, Jörg Bendfeld, and Stefan Krauter. “Short Term Wind and Energy Prediction for Offshore Wind Farms Using Neural Networks.” In 2015 International Conference on Renewable Energy Research and Applications (ICRERA). IEEE, 2016. https://doi.org/10.1109/icrera.2015.7418440.
S. Balluff, J. Bendfeld, and S. Krauter, “Short term wind and energy prediction for offshore wind farms using neural networks,” in 2015 International Conference on Renewable Energy Research and Applications (ICRERA), Palermo, Italy, 2016.
Balluff, Stefan, et al. “Short Term Wind and Energy Prediction for Offshore Wind Farms Using Neural Networks.” 2015 International Conference on Renewable Energy Research and Applications (ICRERA), IEEE, 2016, doi:10.1109/icrera.2015.7418440.