Machine learning methods for GEFCom2017 probabilistic load forecasting
Year of publication: |
2019
|
---|---|
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
|
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 |
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