An accurate and fully-automated ensemble model for weekly time series forecasting
Year of publication: |
2023
|
---|---|
Authors: | Godahewa, Rakshitha ; Bergmeir, Christoph ; Webb, Geoffrey I. ; Montero-Manso, Pablo |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 39.2023, 2, p. 641-658
|
Subject: | Ensembling | Global models | Meta-learning | Time Series | Weekly forecasting | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Prognose | Forecast | Theorie | Theory |
-
LoMEF : a framework to produce local explanations for global model time series forecasts
Rajapaksha, Dilini, (2023)
-
Correlated daily time series and forecasting in the M4 competition
Ingel, Anti, (2020)
-
Feature-based forecast-model performance prediction
Talagala, Thiyanga S., (2019)
- More ...
-
Bandara, Kasun, (2022)
-
FFORMA: Feature-based Forecast Model Averaging
Montero-Manso, Pablo, (2018)
-
Principles and algorithms for forecasting groups of time series : locality and globality
Montero-Manso, Pablo, (2020)
- More ...