Machine learning methods for GEFCom2017 probabilistic load forecasting
Slawek Smyl, N. Grace Hua
| Year of publication: |
2019
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|---|---|
| Authors: | Smyl, Slawek ; Hua, N. Grace |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 35.2019, 4, p. 1424-1431
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| Subject: | Deep learning | Ensemble forecasting | Global energy forecasting competition | Gradient boosting | Neural networks | Probabilistic forecasting | Quantile random forest | Neuronale Netze | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Energieprognose | Energy forecast | Prognose | Forecast | Wahrscheinlichkeitsrechnung | Probability theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1312-1313 |
| Other identifiers: | 10.1016/j.ijforecast.2019.02.002 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012305365