Generalized Exponential Smoothing in Prediction of Hierarchical Time Series

• Autorzy: Daniel Kosiorowski , Dominik Mielczarek , Jerzy P. Rydlewski , Małgorzata Snarska
• Języki publikacji: EN

Abstrakty

EN

Shang and Hyndman (2017) proposed a grouped functional time series forecasting approach as a combination of individual forecasts obtained using the generalized least squares method. We modify their methodology using a generalized exponential smoothing technique for the most disaggregated functional time series in order to obtain a more robust predictor. We discuss some properties of our proposals based on the results obtained via simulation studies and analysis of real data related to the prediction of demand for electricity in Australia in 2016. (original abstract)

Słowa kluczowe

EN

Time-series; Data analysis; Electric power

PL

Szeregi czasowe; Analiza danych; Energia elektryczna

• Czasopismo: Statistics in Transition
• Rocznik: 2018
• Tom: 19
• Numer: nr 2
• Strony: 331--350

Twórcy

autor

Daniel Kosiorowski

• Cracow University of Economics, Poland

autor

Dominik Mielczarek

• AGH University of Science and Technology Kraków, Poland

autor

Jerzy P. Rydlewski

• AGH University of Science and Technology Kraków, Poland

autor

Małgorzata Snarska

• Cracow University of Economics, Poland

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Identyfikatory

DOI

10.21307/stattrans-2018-019