Hierarchical transfer learning with applications to electricity load forecasting
Anestis Antoniadis, Solenne Gaucher, Yannig Goude
| Year of publication: |
2024
|
|---|---|
| Authors: | Antoniadis, Anestis ; Gaucher, Solenne ; Goude, Yannig |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier Science, ISSN 0169-2070, ZDB-ID 1495951-3. - Vol. 40.2024, 2, p. 641-660
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| Subject: | Aggregation of experts | Combining forecasts | Demand forecasting | Random forest | Semi-parametric additive model | Time series | Transfer learning | Prognoseverfahren | Forecasting model | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Lernprozess | Learning process | Nachfrage | Demand | Aggregation | Prognose | Forecast | Nichtparametrisches Verfahren | Nonparametric statistics | Energieprognose | Energy forecast | Elektrizität | Electricity |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2023.04.006 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014547191