Probabilistic forecasting using deep generative models
Author:
Funder
University Corporation for Atmospheric Research
Publisher
Springer Science and Business Media LLC
Subject
Geography, Planning and Development,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s10707-020-00425-8.pdf
Reference38 articles.
1. Aha DW, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6(1):37–66. ISSN 0885-6125. https://doi.org/10.1023/A:1022689900470
2. Alessandrini S, Monache LD, Sperati S, Nissen JN (2015) A novel application of an analog ensemble for short-term wind power forecasting. Renewable Energy 76:768–781. ISSN 0960-1481. https://doi.org/10.1016/j.renene.2014.11.061
3. Athira V, Geetha P, Vinayakumar R, Soman KP (2018) Deepairnet: applying recurrent networks for air quality prediction. Procedia Comput Sci 132:1394–1403
4. Balasubramanian V, Turilli M, Hu W, Lefebvre M, Lei W, Modrak R, Cervone G, Tromp J, Jha S (2018) Harnessing the power of many: extensible toolkit for scalable ensemble applications. In: 2018 IEEE international parallel and distributed processing symposium (IPDPS), pp 536–545. IEEE
5. Bengio Y, Courville A, Vincent P (2012) Representation learning: a review and new perspectives. arXiv:1206.5538
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