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Fotios Petropoulos

DEng, BEng, Dr

 https://orcid.org/0000-0003-3039-4955

  • EAST BUILDING 3.01

Accepting PhD Students

20112018
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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. 545-554

Research 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 2018

Research output: Non-textual form › Software

Judgmental Selection of Forecasting Models

Petropoulos, F., Kourentzes, N., Nikolopoulos, K. & Siemsen, E. May 2018 In : Journal of Operations Management. 60, p. 34-46

Research 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

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. 1082-1084

Research output: Contribution to journal › Article

Open Access
File
Value engineering
Costs
Upper bound
Value added
Forecasting method

Forecasting for big data: does suboptimality matter?

Nikolopoulos, K. & Petropoulos, F. 11 May 2017 In : Computers and Operations Research. 98, p. 322-329

Research output: Contribution to journal › Article

Forecasting
Pursuit
Fruit
Optimal Parameter
Extrapolation

Forecasting methods tutorial: The Theta Method

Petropoulos, F. & Nikolopoulos, K. 2017 In : Foresight: the International Journal of Applied Forecasting. 45, p. 11-17

Research output: Contribution to journal › Article

8 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. 60-74

Research 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. 37-39

Research 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. 154-161

Research output: Contribution to journal › Article

Open Access
File
8 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. 842-852

Research 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. 145-153

Research 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. 18-19

Research 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. 44-45

Research output: Contribution to journal › Comment/debate

university teacher
event
3 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
4 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. 5-11

Research output: Contribution to journal › Article

16 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. 5-12

Research output: Contribution to journal › Article

1 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
3 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
12 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
27 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
36 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. 12-17

Research output: Contribution to journal › Article

MAPA: Multiple Aggregation Prediction Algorithm

Kourentzes, N. & Petropoulos, F. 24 Mar 2014

Research output: Non-textual form › Software

time series
prediction
forecast

tsintermittent: Intermittent Time Series Forecasting

Kourentzes, N. & Petropoulos, F. 2014

Research 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
35 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