Research Output per year
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) and the use of hierarchies. 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, Doctor of Engineering, National Technical University of Athens
Electrical and Computer Engineering, Bachelor of Engineering, National Technical University of Athens
External positions
Associate Editor, International Journal of Forecasting
Sep 2016 → …Director (elected), International Institute of Forecasters
May 2016 → Sep 2018Forecasting Support Systems Editor, Foresight: The International Journal of Applied Forecasting
Jan 2015 → …Keywords
- forecasting
- judgment
- temporal aggregation
- forecast combinations
- forecasting support systems
- decision making
- forecasting process
- hierarchies
- behavioral operations
- analytics
- big data
- supply chain
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.
Forecast
Mathematics
Forecasting
Mathematics
Time Series Forecasting
Mathematics
Bagging
Mathematics
Adjustment
Mathematics
Exponential Smoothing
Mathematics
Uncertainty
Mathematics
Series
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2011 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