Evangelos Spiliotis

According to our database, Evangelos Spiliotis authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the update frequency of univariate forecasting models.

Evangelos Spiliotis, Fotios Petropoulos

Eur. J. Oper. Res., April, 2024

2023

Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning.

Anastasios Kaltsounis, Evangelos Spiliotis, Vassilios Assimakopoulos

Algorithms, April, 2023

Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward.

Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos, Artemios-Anargyros Semenoglou, Gary Mulder, Konstantinos Nikolopoulos

J. Oper. Res. Soc., March, 2023

Data augmentation for univariate time series forecasting with neural networks.

Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Vassilios Assimakopoulos

Pattern Recognit., 2023

Image-based time series forecasting: A deep convolutional neural network approach.

Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Vassilios Assimakopoulos

Neural Networks, 2023

Optimizing inventory control through a data-driven and model-independent framework.

Evangelos Theodorou, Evangelos Spiliotis, Vassilios Assimakopoulos

EURO J. Transp. Logist., 2023

Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series.

Alexandros-Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Spiros Mouzakitis, John E. Psarras, Dimitris Askounis

CoRR, 2023

A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers.

Sotiris Pelekis, Ioannis-Konstantinos Seisopoulos, Evangelos Spiliotis, Theodosios Pountridis, Evangelos Karakolis, Spiros Mouzakitis, Dimitris Askounis

CoRR, 2023

2022

Comparison of statistical and machine learning methods for daily SKU demand forecasting.

Evangelos Spiliotis, Spyros Makridakis, Artemios-Anargyros Semenoglou, Vassilios Assimakopoulos

Oper. Res., 2022

Model selection in reconciling hierarchical time series.

Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir

Mach. Learn., 2022

On the selection of forecasting accuracy measures.

Diamantis Koutsandreas, Evangelos Spiliotis, Fotios Petropoulos, Vassilios Assimakopoulos

J. Oper. Res. Soc., 2022

2021

Exploring the representativeness of the M5 competition data.

Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos

CoRR, 2021

Hierarchical forecast reconciliation with machine learning.

Evangelos Spiliotis, Mahdi Abolghasemi, Rob J. Hyndman, Fotios Petropoulos, Vassilios Assimakopoulos

Appl. Soft Comput., 2021

2020

Exploiting resampling techniques for model selection in forecasting: an empirical evaluation using out-of-sample tests.

Dimitrios Sarris, Evangelos Spiliotis, Vassilios Assimakopoulos

Oper. Res., 2020

Generalizing the Theta method for automatic forecasting.

Evangelos Spiliotis, Vassilios Assimakopoulos, Spyros Makridakis

Eur. J. Oper. Res., 2020

2017

Decision Support for Intelligent Energy Management in Buildings Using the Thermal Comfort Model.

Vangelis Marinakis, Haris Ch. Doukas, Evangelos Spiliotis, Ilias Papastamatiou

Int. J. Comput. Intell. Syst., 2017

2016

How "OPTIMUS" is a city in terms of energy optimization? e-SCEAF: A web based decision support tool for local authorities.

Ilias Papastamatiou, Haris Ch. Doukas, Evangelos Spiliotis, John E. Psarras

Inf. Fusion, 2016

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.

Evangelos Spiliotis, Vangelis Marinakis, Haris Ch. Doukas, John E. Psarras

Proceedings of the 7th International Conference on Information, 2016

OPTIMUS decision support tools: Transforming multidisciplinary data to energy management action plans.

Haris Ch. Doukas, Vangelis Marinakis, Evangelos Spiliotis, John E. Psarras

Proceedings of the 7th International Conference on Information, 2016

2015

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.

Evangelos Spiliotis, George Anastasopoulos, Phaedra Dede, Vangelis Marinakis, Haris Ch. Doukas

Proceedings of the 6th International Conference on Information, 2015

2014

Proposing a Smart City Energy Assessment Framework linking local vision with data sets.

Stella Androulaki, Evangelos Spiliotis, Haris Ch. Doukas, Ilias Papastamatiou, John E. Psarras

Proceedings of the 5th International Conference on Information, 2014