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ORCIDEvangelos Spiliotis
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2020 – today
- 2024
[j14]Evangelos Spiliotis
, Fotios Petropoulos:
On the update frequency of univariate forecasting models. Eur. J. Oper. Res. 314(1): 111-121 (2024)- 2023
- [j13]Anastasios Kaltsounis, Evangelos Spiliotis, Vassilios Assimakopoulos:
Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning. Algorithms 16(4): 206 (2023) - [j12]Evangelos Theodorou, Evangelos Spiliotis, Vassilios Assimakopoulos:
Optimizing inventory control through a data-driven and model-independent framework. EURO J. Transp. Logist. 12: 100103 (2023) - [j11]Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos, Artemios-Anargyros Semenoglou, Gary Mulder, Konstantinos Nikolopoulos:
Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward. J. Oper. Res. Soc. 74(3): 840-859 (2023) - [j10]Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Vassilios Assimakopoulos:
Image-based time series forecasting: A deep convolutional neural network approach. Neural Networks 157: 39-53 (2023) - [j9]Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Vassilios Assimakopoulos:
Data augmentation for univariate time series forecasting with neural networks. Pattern Recognit. 134: 109132 (2023) - [i5]Sotiris Pelekis, Ioannis-Konstantinos Seisopoulos, Evangelos Spiliotis, Theodosios Pountridis, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis:
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers. CoRR abs/2302.12168 (2023) - [i4]Alexandros-Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Spiros Mouzakitis, John E. Psarras, Dimitris Askounis:
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series. CoRR abs/2310.15555 (2023) - 2022
- [j8]Diamantis Koutsandreas, Evangelos Spiliotis, Fotios Petropoulos, Vassilios Assimakopoulos:
On the selection of forecasting accuracy measures. J. Oper. Res. Soc. 73(5): 937-954 (2022) - [j7]Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. Mach. Learn. 111(2): 739-789 (2022) - [j6]Evangelos Spiliotis, Spyros Makridakis, Artemios-Anargyros Semenoglou, Vassilios Assimakopoulos:
Comparison of statistical and machine learning methods for daily SKU demand forecasting. Oper. Res. 22(3): 3037-3061 (2022) - 2021
- [j5]Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. Appl. Soft Comput. 112: 107756 (2021) - [i3]Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos:
Exploring the representativeness of the M5 competition data. CoRR abs/2103.02941 (2021) - 2020
- [j4]Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis:
Generalizing the Theta method for automatic forecasting. Eur. J. Oper. Res. 284(2): 550-558 (2020) - [j3]Dimitrios Sarris, Evangelos Spiliotis, Vassilios Assimakopoulos:
Exploiting resampling techniques for model selection in forecasting: an empirical evaluation using out-of-sample tests. Oper. Res. 20(2): 701-721 (2020) - [i2]Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos:
Hierarchical forecast reconciliation with machine learning. CoRR abs/2006.02043 (2020) - [i1]Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. CoRR abs/2010.10742 (2020)
2010 – 2019
- 2017
- [j2]Vangelis Marinakis, Haris Ch. Doukas, Evangelos Spiliotis, Ilias Papastamatiou:
Decision Support for Intelligent Energy Management in Buildings Using the Thermal Comfort Model. Int. J. Comput. Intell. Syst. 10(1): 882-893 (2017) - 2016
- [j1]Ilias Papastamatiou, Haris Ch. Doukas, Evangelos Spiliotis, John E. Psarras:
How "OPTIMUS" is a city in terms of energy optimization? e-SCEAF: A web based decision support tool for local authorities. Inf. Fusion 29: 149-161 (2016) - [c4]Haris Ch. Doukas, Vangelis Marinakis, Evangelos Spiliotis, John E. Psarras:
OPTIMUS decision support tools: Transforming multidisciplinary data to energy management action plans. IISA 2016: 1-5 - [c3]Evangelos Spiliotis, Vangelis Marinakis, Haris Ch. Doukas, John E. Psarras:
Integrating a decision support system with smart grid infrastructures and ICT solutions towards energy cost reduction: An action plan to optimally schedule the operation of heating and electricity systems. IISA 2016: 1-6 - 2015
- [c2]Evangelos Spiliotis, George Anastasopoulos, Phaedra Dede, Vangelis Marinakis, Haris Ch. Doukas:
A framework for integrating user experience in action plan evaluation through social media: Transforming user generated content into knowledge to optimise energy use in buildings. IISA 2015: 1-6 - 2014
- [c1]Stella Androulaki, Evangelos Spiliotis, Haris Ch. Doukas, Ilias Papastamatiou, John E. Psarras:
Proposing a Smart City Energy Assessment Framework linking local vision with data sets. IISA 2014: 50-56
Coauthor Index
aka: Vassilios Assimakopoulos
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