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Fotios Petropoulos
Fotios Petropoulos
Professor of Management Science, University of Bath
Verified email at bath.ac.uk - Homepage
Title
Cited by
Cited by
Year
Forecasting the novel coronavirus COVID-19
F Petropoulos, S Makridakis
PloS one 15 (3), e0231236, 2020
5962020
Forecasting with temporal hierarchies
G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos
European Journal of Operational Research 262 (1), 60-74, 2017
2152017
‘Horses for Courses’ in demand forecasting
F Petropoulos, S Makridakis, V Assimakopoulos, K Nikolopoulos
European Journal of Operational Research 237 (1), 152-163, 2014
1812014
Improving forecasting by estimating time series structural components across multiple frequencies
N Kourentzes, F Petropoulos, JR Trapero
International Journal of Forecasting 30 (2), 291-302, 2014
1752014
Package ‘forecast’
RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
Online] https://cran. r-project. org/web/packages/forecast/forecast. pdf, 2020
158*2020
An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis
K Nikolopoulos, AA Syntetos, JE Boylan, F Petropoulos, ...
Journal of the Operational Research Society 62 (3), 544-554, 2011
1462011
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of Forecasting, 2022
1332022
Forecasting functions for time series and linear models
R Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...
R package version 6, 2015
1302015
Forecast combinations for intermittent demand
F Petropoulos, N Kourentzes
Journal of the Operational Research Society 66 (6), 914-924, 2015
1222015
Judgmental selection of forecasting models
F Petropoulos, N Kourentzes, K Nikolopoulos, E Siemsen
Journal of Operations Management 60, 34-46, 2018
1042018
Forecasting with multivariate temporal aggregation: The case of promotional modelling
N Kourentzes, F Petropoulos
International Journal of Production Economics 181, 145-153, 2016
1032016
Exploring the sources of uncertainty: Why does bagging for time series forecasting work?
F Petropoulos, RJ Hyndman, C Bergmeir
European Journal of Operational Research 268 (2), 545-554, 2018
1012018
Simple versus complex selection rules for forecasting many time series
R Fildes, F Petropoulos
Journal of Business Research 68 (8), 1692-1701, 2015
892015
Forecasting in social settings: The state of the art
S Makridakis, RJ Hyndman, F Petropoulos
International Journal of Forecasting 36 (1), 15-28, 2020
862020
Another look at forecast selection and combination: Evidence from forecast pooling
N Kourentzes, D Barrow, F Petropoulos
International Journal of Production Economics 209, 226-235, 2019
812019
Another look at estimators for intermittent demand
F Petropoulos, N Kourentzes, K Nikolopoulos
International Journal of Production Economics 181, 154-161, 2016
632016
Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?
F Petropoulos, R Fildes, P Goodwin
European Journal of Operational Research 249 (3), 842–852, 2016
592016
Models for optimising the theta method and their relationship to state space models
JA Fiorucci, TR Pellegrini, F Louzada, F Petropoulos, AB Koehler
International Journal of Forecasting 32 (4), 1151-1161, 2016
562016
The inventory performance of forecasting methods: Evidence from the M3 competition data
F Petropoulos, X Wang, SM Disney
International Journal of Forecasting 35 (1), 251-265, 2019
532019
Probabilistic forecast reconciliation with applications to wind power and electric load
J Jeon, A Panagiotelis, F Petropoulos
European Journal of Operational Research 279 (2), 364-379, 2019
52*2019
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