A semi-empirical approach using gradient boosting and kk-nearest neighbors regression for GEFCom2014 probabilistic solar power forecasting
Jing Huang, Matthew Perry
| Year of publication: |
July-September 2016
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|---|---|
| Authors: | Huang, Jing ; Perry, Matthew |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 32.2016, 3, p. 1081-1086
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| Subject: | Solar power | Probabilistic forecasting | Gradient boosting | kk-nearest neighbors regression | GEFCom2014 | Prognoseverfahren | Forecasting model | Sonnenenergie | Solar energy | Regressionsanalyse | Regression analysis | Theorie | Theory | Wahrscheinlichkeitsrechnung | Probability theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2015.11.002 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011622043