Research Output per year
Research Output 2011 2019
2019
2
Citations
(Scopus)
Another look at forecast selection and combination: evidence from forecast pooling
Kourentzes, N., Barrow, D. & Petropoulos, F., 31 Mar 2019, In : International Journal of Production Economics. 209, p. 226-235 10 p.Research output: Contribution to journal › Article
Open Access
File
Pooling
Uncertainty
Forecast combination
Decision modeling
Forecast error
A Simple Combination of Univariate Models
Petropoulos, F. & Svetunkov, I., 17 Apr 2019, In : International Journal of Forecasting.Research output: Contribution to journal › Article
Forecasting for food demand
Petropoulos, F. & Carver, S., 2019, (Accepted/In press) Sustainable Food Supply Chains. Accorsi, R. & Manzini, R. (eds.). ElsevierResearch output: Chapter in Book/Report/Conference proceeding › Chapter
Forecasting in social settings: the state of the art
Makridakis, S., Hyndman, R. J. & Petropoulos, F., 21 May 2019, (Accepted/In press) In : International Journal of Forecasting.Research output: Contribution to journal › Article
Judgmental model selection
Petropoulos, F., 21 May 2019, (Accepted/In press) In : Foresight: the International Journal of Applied Forecasting.Research output: Contribution to journal › Article
Probabilistic forecast reconciliation with applications to wind power and electric load
Jeon, J., Panagiotelis, A. & Petropoulos, F., 14 May 2019, (Accepted/In press) In : European Journal of Operational Research. 279, 2, p. 364-379Research output: Contribution to journal › Article
Supporting national planning through improved forecasting of demand for health services
Vasilakis, C., Petropoulos, F. & Cruze, V., Apr 2019, (Accepted/In press).Research output: Contribution to conference › Abstract
3
Citations
(Scopus)
The inventory performance of forecasting methods: evidence from the M3-competition data
Petropoulos, F., Wang, X. & Disney, S. M., 1 Jan 2019, In : International Journal of Forecasting. 35, 1, p. 251-265 15 p.Research output: Contribution to journal › Article
The M4 competition: Bigger. Stronger. Better.
Petropoulos, F. & Makridakis, S., 20 May 2019, (Accepted/In press) In : International Journal of Forecasting.Research output: Contribution to journal › Editorial
The M4 competition: Conclusions
Makridakis, S. & Petropoulos, F., 20 May 2019, (Accepted/In press) In : International Journal of Forecasting.Research output: Contribution to journal › Editorial
θ-Reflections from the Next Generation of Forecasters
Petropoulos, F., 2019, (Accepted/In press) Forecasting With The Theta Method: Theory and Applications. Nikolopoulos, K. & Thomakos, D. D. (eds.). Wiley, p. 163-176Research output: Chapter in Book/Report/Conference proceeding › Chapter
File
2018
Brain imaging and forecasting: Insights from judgmental model selection
Han, W., Wang, X., Petropoulos, F. & Wang, J., 16 Nov 2018, In : Omega: The International Journal of Management Science.Research output: Contribution to journal › Article
6
Citations
(Scopus)
Exploring the sources of uncertainty: why does bagging for time series forecasting work?
Petropoulos, F., Hyndman, R. J. & Bergmeir, C., 16 Jul 2018, In : European Journal of Operational Research. 268, 2, p. 545-554Research output: Contribution to journal › Article
Time Series Forecasting
Bagging
Time series
Exponential Smoothing
Uncertainty
forecast: Forecasting functions for time series and linear models
Hyndman, R. J., Athanasopoulos, G., Bergmeir, C., Caceres, G., Chhay, L., O'Hara-Wild, M., Petropoulos, F., Razbash, S., Wang, E. & Yasmeen, F., 11 Apr 2018Research output: Non-textual form › Software
6
Citations
(Scopus)
Forecasting for big data: does suboptimality matter?
Nikolopoulos, K. & Petropoulos, F., 1 Oct 2018, In : Computers and Operations Research. 98, p. 322-329Research output: Contribution to journal › Article
Open Access
File
Forecasting
Pursuit
Fruit
Optimal Parameter
Extrapolation
5
Citations
(Scopus)
Judgmental Selection of Forecasting Models
Petropoulos, F., Kourentzes, N., Nikolopoulos, K. & Siemsen, E., 31 May 2018, In : Journal of Operations Management. 60, 1, p. 34-46 13 p.Research output: Contribution to journal › Article
Open Access
File
Time series
Agglomeration
Model selection
Experiments
Information criterion
1
Citation
(Scopus)
Old dog, new tricks: a modelling view of simple moving averages
Svetunkov, I. & Petropoulos, F., 2018, In : International Journal of Production Research. 56, 18, p. 6034-6047 14 p.Research output: Contribution to journal › Article
Moving average
Dog
Modeling
Forecasting method
Statistical model
1
Citation
(Scopus)
On reconciling macro and micro energy transport forecasts for strategic decision making in the tanker industry
Abouarghoub, W., Nomikos, N. & Petropoulos, F., 1 May 2018, In : Transportation Research Part E: Logistics and Transportation Review. 113, p. 225-238 14 p.Research output: Contribution to journal › Article
Open Access
File
shipping
Macros
Decision making
Freight transportation
energy
"Profit from Your Forecasting Software: A Best-Practice Guide for Sales Forecasters" by Paul Goodwin
Petropoulos, F., 2018, Foresight: the International Journal of Applied Forecasting, 51, p. 5-7 3 p.Research output: Contribution to specialist publication › Book/Film/Article review
2017
A note on upper bounds for forecast-value-added relative to naive forecasts
Goodwin, P., Petropoulos, F. & Hyndman, R. J., Sep 2017, In : Journal of the Operational Research Society. 68, 9, p. 1082-1084Research output: Contribution to journal › Article
Open Access
File
Value engineering
Costs
Upper bound
Value added
Forecasting method
Forecasting methods tutorial: The Theta Method
Petropoulos, F. & Nikolopoulos, K., 2017, In : Foresight: the International Journal of Applied Forecasting. 45, p. 11-17Research output: Contribution to journal › Article
29
Citations
(Scopus)
Forecasting with Temporal Hierarchies
Athanasopoulos, G., Hyndman, R. J., Kourentzes, N. & Petropoulos, F., 1 Oct 2017, In : European Journal of Operational Research. 262, 1, p. 60-74 15 p.Research output: Contribution to journal › Article
Open Access
File
Forecast
Forecasting
Uncertainty Modeling
Temporal Aggregation
Time series
5
Citations
(Scopus)
Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge
Petropoulos, F., Goodwin, P. & Fildes, R., Jan 2017, In : International Journal of Forecasting. 33, 1, p. 314-324 11 p.Research output: Contribution to journal › Article
Open Access
File
Extrapolation
Forecast error
Performance feedback
Inefficiency
Experiment
2016
Academia versus Practice: Two sides of the same coin
Petropoulos, F. & Kourentzes, N., 2016, In : Foresight: the International Journal of Applied Forecasting. 42, p. 37-39Research output: Contribution to journal › Comment/debate
7
Citations
(Scopus)
Another look at estimators for intermittent demand
Petropoulos, F., Kourentzes, N. & Nikolopoulos, K., Nov 2016, In : International Journal of Production Economics. 181, Part A, p. 154-161Research output: Contribution to journal › Article
Open Access
File
17
Citations
(Scopus)
Do 'big losses' in judgmental adjustments to statistical forecasts affect experts' behaviour
Petropoulos, F., Fildes, R. & Goodwin, P., 16 Mar 2016, In : European Journal of Operational Research. 249, 3, p. 842-852Research output: Contribution to journal › Article
Open Access
File
Forecast
Adjustment
Forecasting
Pharmaceuticals
Sports
23
Citations
(Scopus)
Forecasting with multivariate temporal aggregation: the case of promotional modelling
Kourentzes, N. & Petropoulos, F., Nov 2016, In : International Journal of Production Economics. 181, Part A, p. 145-153Research output: Contribution to journal › Article
Open Access
File
Misbehaving, misdesigning and miscommunicating
Nikolopoulos, K. & Petropoulos, F., 2016, In : Foresight: the International Journal of Applied Forecasting. 41, p. 18-19Research output: Contribution to journal › Comment/debate
7
Citations
(Scopus)
Models for optimising the theta method and their relationship to state space models
Fioruci, J. A., Pellegrini, T. R., Louzada, F., Petropoulos, F. & Koehler, A. B., Oct 2016, In : International Journal of Forecasting. 32, 4, p. 1151-1161 11 p.Research output: Contribution to journal › Article
Open Access
File
Predicting the improbable
Nikolopoulos, K. & Petropoulos, F., 2016, In : Chartered Banker. December 2016/January 2017, p. 44-45Research output: Contribution to journal › Comment/debate
university teacher
event
10
Citations
(Scopus)
To select or to combine? The inventory performance of model and expert forecasts
Wang, X. & Petropoulos, F., 2016, In : International Journal of Production Research. 54, 17, p. 5271-5282 12 p.Research output: Contribution to journal › Article
Open Access
File
2015
6
Citations
(Scopus)
Amplifying the learning effect via a Forecasting and Foresight Support System
Spithourakis, G., Petropoulos, F., Nikolopoulos, K. & Assimakopoulos, V., 2015, In : International Journal of Forecasting. 31, 1, p. 20-32 13 p.Research output: Contribution to journal › Article
Open Access
File
Forecasting Support Systems: ways forward
Petropoulos, F., 2015, In : Foresight: the International Journal of Applied Forecasting. 39, p. 5-11Research output: Contribution to journal › Article
26
Citations
(Scopus)
Forecasts combinations for intermittent demand
Petropoulos, F. & Kourentzes, N., 2015, In : Journal of the Operational Research Society. 66, 6, p. 914-924 11 p.Research output: Contribution to journal › Article
Open Access
File
Improving forecast quality in practice
Fildes, R. & Petropoulos, F., 2015, In : Foresight: the International Journal of Applied Forecasting. 36, p. 5-12Research output: Contribution to journal › Article
3
Citations
(Scopus)
Is there a Golden Rule?
Fildes, R. & Petropoulos, F., 2015, In : Journal of Business Research. 68, 8, p. 1742-1745 4 p.Research output: Contribution to journal › Article
Open Access
File
5
Citations
(Scopus)
Relative performance of methods for forecasting Unique Events
Nikolopoulos, K., Litsa, A., Petropoulos, F., Bougioukos, V. & Khammash, M., 2015, In : Journal of Business Research. 68, 8, p. 1785-1791 7 p.Research output: Contribution to journal › Article
Open Access
File
24
Citations
(Scopus)
Simple versus complex selection rules for forecasting many time series
Fildes, R. & Petropoulos, F., 2015, In : Journal of Business Research. 68, 8, p. 1692-1701 10 p.Research output: Contribution to journal › Article
Open Access
File
2014
15
Citations
(Scopus)
A Systemic View of ADIDA framework
Spithourakis, G., Petropoulos, F., Nikolopoulos, K. & Assimakopoulos, V., 2014, In : IMA Journal of Management Mathematics. 25, 2, p. 125-137 13 p.Research output: Contribution to journal › Article
Open Access
File
40
Citations
(Scopus)
Horses for Courses’ in demand forecasting
Petropoulos, F., Makridakis, S., Assimakopoulos, V. & Nikolopoulos, K., 2014, In : European Journal of Operational Research. 237, 1, p. 152-163 12 p.Research output: Contribution to journal › Article
Open Access
File
53
Citations
(Scopus)
Improving forecasting by estimating time series structural components across multiple frequencies
Kourentzes, N., Petropoulos, F. & Trapero Arenas, J. R., 2014, In : International Journal of Forecasting. 30, 2, p. 291-302 12 p.Research output: Contribution to journal › Article
Open Access
File
Improving forecasting via multiple temporal aggregation
Petropoulos, F. & Kourentzes, N., 2014, In : Foresight: the International Journal of Applied Forecasting. 34, p. 12-17Research output: Contribution to journal › Article
MAPA: Multiple Aggregation Prediction Algorithm
Kourentzes, N. & Petropoulos, F., 24 Mar 2014Research output: Non-textual form › Software
time series
prediction
forecast
tsintermittent: Intermittent Time Series Forecasting
Kourentzes, N. & Petropoulos, F., 2014Research output: Non-textual form › Software
Time series forecasting
Intermittent demand
2013
12
Citations
(Scopus)
Empirical heuristics for improving Intermittent Demand Forecasting
Petropoulos, F., Nikolopoulos, K., Spithourakis, G. & Assimakopoulos, V., 2013, In : Industrial Management and Data Systems. 113, 5, p. 683-696 14 p.Research output: Contribution to journal › Article
Open Access
File
Cost reduction
Automotive industry
Intermittent demand
Heuristics
Demand forecasting
2011
46
Citations
(Scopus)
An Aggregate - Disaggregate Intermittent Demand Approach (ADIDA) to forecasting: an empirical proposition and analysis
Nikolopoulos, K., Syntetos, A., Boylan, J. E., Petropoulos, F. & Assimakopoulos, V., 2011, In : Journal of the Operational Research Society. 62, 3, p. 544-554 11 p.Research output: Contribution to journal › Article
File
Improving the performance of popular supply chain forecasting techniques
Spithourakis, G., Petropoulos, F., Babai, M. Z., Nikolopoulos, K. & Assimakopoulos, V., 2011, In : Supply Chain Forum. 12, 4, p. 16-25 10 p.Research output: Contribution to journal › Article