Research Output per year
Research Output 2011 2018
2018
Another look at forecast selection and combination: evidence from forecast pooling
Kourentzes, N., Barrow, D. & Petropoulos, F., 18 May 2018, In : International Journal of Production Economics.Research output: Contribution to journal › Article
Pooling
Uncertainty
Forecast combination
Decision modeling
Forecast error
2
Citations
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
2
Citations
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
Judgmental Selection of Forecasting Models
Petropoulos, F., Kourentzes, N., Nikolopoulos, K. & Siemsen, E., May 2018, In : Journal of Operations Management. 60, p. 34-46Research output: Contribution to journal › Article
Open Access
File
Time series
Agglomeration
Model selection
Experiments
Information criterion
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 24 p.Research output: Contribution to journal › Article
Open Access
File
shipping
Macros
Decision making
Freight transportation
energy
The inventory performance of forecasting methods: evidence from the M3-competition data
Petropoulos, F., Wang, X. & Disney, S. M., 27 Mar 2018, In : International Journal of Forecasting.Research output: Contribution to journal › Article
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
13
Citations
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. 60-74Research output: Contribution to journal › Article
Forecast
Forecasting
Uncertainty Modeling
Temporal Aggregation
Time series
Old dog, new tricks: a modelling view of simple moving averages
Svetunkov, I. & Petropoulos, F., 29 Sep 2017, In : International Journal of Production Research. 14 p.Research output: Contribution to journal › Article
Moving average
Dog
Modeling
Forecasting method
Statistical model
2
Citations
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
4
Citations
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
10
Citations
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
12
Citations
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
2
Citations
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
5
Citations
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
5
Citations
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
17
Citations
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
2
Citations
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
4
Citations
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
13
Citations
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
10
Citations
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
31
Citations
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
37
Citations
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
11
Citations
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
36
Citations
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