Evangelos Spiliotis

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Vassilios (Vassilis) AssimakopoulosProfessor, National Technical University of Athens, GreeceVerified email at fsu.gr
Spyros MakridakisUniversity of Nicosia, Inst. For the Future (IFF), the Makridakis Open Forecast. Center MOFCVerified email at UNIC.ac.cy
Haris DoukasProfessor, School of Electrical and Computer Engineering, National Technical UniversityVerified email at epu.ntua.gr
Fotios PetropoulosProfessor of Management Science, University of BathVerified email at bath.ac.uk
Vangelis MarinakisAssistant Professor, School of Electrical & Computer Eng, National Technical University of AthensVerified email at epu.ntua.gr
Elissaios SarmasResearch Associate, National Technical University of AthensVerified email at epu.ntua.gr
Artemios-Anargyros SemenoglouForecasting & Strategy Unit, School of Electrical and Computer Engineering, National TechnicalVerified email at fsu.gr
John PsarrasProfessor, School of Electrical and Computer Engineering, National Technical University of AthensVerified email at epu.ntua.gr
Dr Konstantinos (Kostas/Gus) Nikolop...Professor in Business Information Systems & Analytics, Durham UniversityVerified email at durham.ac.uk
Ilias PapastamatiouSenior Project Manager GRNETVerified email at admin.grnet.gr
Diamantis KoutsandreasPostdoctoral researcher, Aalto UniversityVerified email at aalto.fi
Anil GabaProfessor of Decision Sciences, INSEADVerified email at insead.edu
Mahdi AbolghasemiSenior Lecturer in Data Science, Queensland University of TechnologyVerified email at qut.edu.au
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Yanfei KangSchool of Economics and Management, Beihang UniversityVerified email at buaa.edu.cn
Robert WinklerJames B. Duke Professor, Fuqua School of Business, Duke UniversityVerified email at duke.edu
Ilia TsetlinINSEADVerified email at insead.edu
Zhi ChenNational University of SingaporeVerified email at nus.edu.sg
Nikolaos KourentzesUniversity of SkövdeVerified email at his.se
Anastasios KaltsounisPhD CandidateVerified email at fsu.gr

Evangelos Spiliotis

Forecasting & Strategy Unit, School of Electrical and Computer Engineering, National Technical

Verified email at fsu.gr - Homepage

Forecasting Decision Support Systems Optimisation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Statistical and Machine Learning forecasting methods: Concerns and ways forward S Makridakis, E Spiliotis, V Assimakopoulos PloS one 13 (3), e0194889, 2018	1562	2018
The M4 Competition: 100,000 time series and 61 forecasting methods S Makridakis, E Spiliotis, V Assimakopoulos International Journal of Forecasting 36 (1), 54-74, 2020	951	2020
Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022	809	2022
The M4 Competition: Results, findings, conclusion and way forward S Makridakis, E Spiliotis, V Assimakopoulos International Journal of forecasting 34 (4), 802-808, 2018	722	2018
M5 accuracy competition: Results, findings, and conclusions S Makridakis, E Spiliotis, V Assimakopoulos International Journal of Forecasting 38 (4), 1346-1364, 2022	478	2022
The M5 competition: Background, organization, and implementation S Makridakis, E Spiliotis, V Assimakopoulos International Journal of Forecasting 38 (4), 1325-1336, 2022	147	2022
Comparison of statistical and machine learning methods for daily SKU demand forecasting E Spiliotis, S Makridakis, AA Semenoglou, V Assimakopoulos Operational Research 22 (3), 3037-3061, 2022	117	2022
On the selection of forecasting accuracy measures D Koutsandreas, E Spiliotis, F Petropoulos, V Assimakopoulos Journal of the Operational Research Society 73 (5), 937-954, 2022	110	2022
The M5 uncertainty competition: Results, findings and conclusions S Makridakis, E Spiliotis, V Assimakopoulos, Z Chen, A Gaba, I Tsetlin, ... International Journal of Forecasting 38 (4), 1365-1385, 2022	102	2022
Cross-temporal aggregation: Improving the forecast accuracy of hierarchical electricity consumption E Spiliotis, F Petropoulos, N Kourentzes, V Assimakopoulos Applied Energy 261, 114339, 2020	87	2020
Are forecasting competitions data representative of the reality? E Spiliotis, A Kouloumos, V Assimakopoulos, S Makridakis International Journal of Forecasting 36 (1), 37-53, 2020	77	2020
Investigating the accuracy of cross-learning time series forecasting methods AA Semenoglou, E Spiliotis, S Makridakis, V Assimakopoulos International Journal of Forecasting 37 (3), 1072-1084, 2021	74	2021
Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward S Makridakis, E Spiliotis, V Assimakopoulos, AA Semenoglou, G Mulder, ... Journal of the Operational Research Society 74 (3), 840-859, 2023	73	2023
Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models E Sarmas, E Spiliotis, E Stamatopoulos, V Marinakis, H Doukas Renewable Energy 216, 118997, 2023	64	2023
Hierarchical forecast reconciliation with machine learning E Spiliotis, M Abolghasemi, RJ Hyndman, F Petropoulos, ... Applied Soft Computing 112, 107756, 2021	64	2021
Generalizing the theta method for automatic forecasting E Spiliotis, V Assimakopoulos, S Makridakis European Journal of Operational Research 284 (2), 550-558, 2020	54	2020
Data augmentation for univariate time series forecasting with neural networks AA Semenoglou, E Spiliotis, V Assimakopoulos Pattern Recognition 134, 109132, 2023	52	2023
Predicting/hypothesizing the findings of the M4 Competition S Makridakis, E Spiliotis, V Assimakopoulos International Journal of Forecasting 36 (1), 29-36, 2020	48	2020
ML-based energy management of water pumping systems for the application of peak shaving in small-scale islands E Sarmas, E Spiliotis, V Marinakis, G Tzanes, JK Kaldellis, H Doukas Sustainable Cities and Society 82, 103873, 2022	46	2022
Image-based time series forecasting: A deep convolutional neural network approach AA Semenoglou, E Spiliotis, V Assimakopoulos Neural Networks 157, 39-53, 2023	43	2023

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