Funder
Natural Sciences and Engineering Research Council of Canada
China Scholarship Council
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modelling and Simulation,Information Systems
Reference50 articles.
1. Li, Y., Musilek, P., Lozowski, E., et al.: Temporal uncertainty of wind ramp predictions using probabilistic forecasting technique. In: IEEE Big Data Service 2016 conference, Oxford, UK (2016)
2. Ferreira, C., Gama, J., Matias, L., Botterud, A., Wang, J.: A survey on wind power ramp forecasting. Technical report, Argonne US Department of Energy Laboratory (2010)
3. Costa, A., Crespo, A., Navarro, J., Lizcano, G., Madsen, H., Feitosa, E.: A review on the young history of the wind power short-term prediction. Renew. Sustain. Energy Rev. 12(6), 1725–1744 (2008). doi: 10.1016/j.rser.2007.01.015
4. Giebel, G., Brownsword, R., Kariniotakis, G., Denhard, M., Draxl, C.: The state-of-the-art in short-term prediction of wind power. Technical report, ANEMOS EU project, No. 038692 (2011)
5. Colak, I., Sagiroglu, S., Yesilbudak, M.: Data mining and wind power prediction: a literature review. Renew. Energy 46, 241–247 (2012). doi: 10.1016/j.renene.2012.02.015
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献