U-Convolutional model for spatio-temporal wind speed forecasting
Bruno Quaresma Bastos, Fernando Luiz Cyrino Oliveira, Ruy Luiz Milidiú
| Year of publication: |
2021
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|---|---|
| Authors: | Bastos, Bruno Quaresma ; Oliveira, Fernando Luiz Cyrino ; Milidiú, Ruy Luiz |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 37.2021, 2, p. 949-970
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| Subject: | Convolutional neural networks | Deep learning | Renewable energy | Spatio-temporal forecasting | Time series | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Erneuerbare Energie | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Windenergie | Wind energy | Energieprognose | Energy forecast | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2020.10.007 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012794764