Fotios Petropoulos

Dr, DEng, BEng

  • EAST BUILDING 3.1A

Accepting PhD Students

20112018

Personal profile

Research interests

I am interested in research on time series forecasting, judgmental approaches for forecasting, statistical and judgmental model selection and integrated business forecasting processes. My research so far has focused on the improvement of forecasting processes and more specifically around two streams. First, I have examined how additional information can be extracted from time series data through time transformation (temporal aggregation). Second, I have investigated interactions between forecasting and management judgment.

Willing to supervise PhD

I welcome enquiries from potential PhD students in the areas of forecasting and behavioural operational research.

Education / Academic qualification

Electrical and Computer Engineering, Bachelor of Engineering, National Technical University of Athens

Electrical and Computer Engineering, Doctor of Engineering, National Technical University of Athens

External positions

Director (elected), International Institute of Forecasters

1 May 2016 → …

Keywords

  • forecasting
  • judgment
  • temporal aggregation
  • forecast combinations
  • forecasting support systems
  • model selection
  • forecasting process
  • hierarchies
  • behavioral operations
  • analytics
  • big data
  • supply chain
  • decision making
  • forecast value added
  • intermittent demand
  • learning effect
  • demand forecasting

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2011 2018

Exploring the sources of uncertainty: why does bagging for time series forecasting work?

Petropoulos, F., Hyndman, R. J. & Bergmeir, C. 2 Feb 2018 In : European Journal of Operational Research.

Research output: Contribution to journalArticle

Time series
Decomposition
Agglomeration

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 journalArticle

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 journalArticle

Open Access
File
Value engineering
Costs

Forecasting for big data: does suboptimality matter?

Nikolopoulos, K. & Petropoulos, F. 11 May 2017 In : Computers and Operations Research.

Research output: Contribution to journalArticle

Fruits
Extrapolation
Costs
Big data

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 journalArticle