Forecasting high resolution electricity demand data with additive models including smooth and jagged components
Year of publication: |
2021
|
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Authors: | Amato, Umberto ; Antoniadis, Anestis ; De Feis, Italia ; Goude, Yannig ; Lagache, Audrey |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 37.2021, 1, p. 171-185
|
Subject: | Short-term load forecasting | Semi-parametric additive model | Random forest | Wavelets | Penalised least-squares | Theorie | Theory | Prognoseverfahren | Forecasting model | Nichtparametrisches Verfahren | Nonparametric statistics | Zeitreihenanalyse | Time series analysis |
Description of contents: | Description [doi.org] |
Type of publication: | Article |
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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 1319-1320 |
Other identifiers: | 10.1016/j.ijforecast.2020.04.001 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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