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 (IISA, 2014)

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 (IISA, 2015)

OPTIMUS decision support tools: Transforming multidisciplinary data to energy management action plans. - Haris Ch. Doukas; Vangelis Marinakis; Evangelos Spiliotis; John E. Psarras (IISA, 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 (IISA, 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)

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)

Generalizing the Theta method for automatic forecasting. - Evangelos Spiliotis; Vassilios Assimakopoulos; Spyros Makridakis (Eur. J. Oper. Res., 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)

Hierarchical forecast reconciliation with machine learning. - Evangelos Spiliotis; Mahdi Abolghasemi; Rob J. Hyndman; Fotios Petropoulos; Vassilios Assimakopoulos (Appl. Soft Comput., 2021)

Exploring the representativeness of the M5 competition data. - Evangelos Theodorou; Shengjie Wang; Yanfei Kang; Evangelos Spiliotis; Spyros Makridakis; Vassilios Assimakopoulos (CoRR, 2021)

On the selection of forecasting accuracy measures. - Diamantis Koutsandreas; Evangelos Spiliotis; Fotios Petropoulos; Vassilios Assimakopoulos (J. Oper. Res. Soc., 2022)

Model selection in reconciling hierarchical time series. - Mahdi Abolghasemi; Rob J. Hyndman; Evangelos Spiliotis; Christoph Bergmeir (Mach. Learn., 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)

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)

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)

Optimizing inventory control through a data-driven and model-independent framework. - Evangelos Theodorou; Evangelos Spiliotis; Vassilios Assimakopoulos (EURO J. Transp. Logist., 2023)

Image-based time series forecasting: A deep convolutional neural network approach. - Artemios-Anargyros Semenoglou; Evangelos Spiliotis; Vassilios Assimakopoulos (Neural Networks, 2023)

Data augmentation for univariate time series forecasting with neural networks. - Artemios-Anargyros Semenoglou; Evangelos Spiliotis; Vassilios Assimakopoulos (Pattern Recognit., 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., 2023)

Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning. - Anastasios Kaltsounis; Evangelos Spiliotis; Vassilios Assimakopoulos (Algorithms, 2023)

A Holistic Framework for Evaluating Energy Performance and Indoor Environmental Quality in Cultural Heritage Buildings. - Sokratis Divolis; Evangelos Spiliotis; Vangelis Marinakis; Andreas Stoimenidis (IISA, 2024)

A Web-Based Decision Support Tool for Efficiently Monitoring and Upgrading HVAC Systems. - Daniela Stoian; Evangelos Spiliotis; Efstathios Stamatopoulos; Elissaios Sarmas; Evangelos Marinakis (IISA, 2024)

On the update frequency of univariate forecasting models. - Evangelos Spiliotis; Fotios Petropoulos (Eur. J. Oper. Res., 2024)

Judgmental selection of parameters for simple forecasting models. - Fotios Petropoulos; Evangelos Spiliotis (Eur. J. Oper. Res., 2025)

Forecast accuracy and inventory performance: Insights on their relationship from the M5 competition data. - Evangelos Theodorou; Evangelos Spiliotis; Vassilios Assimakopoulos (Eur. J. Oper. Res., 2025)

Adversarial machine learning: a review of methods, tools, and critical industry sectors. - Sotiris Pelekis; Thanos Koutroubas; Afroditi Blika; Anastasis Berdelis; Evangelos Karakolis; Christos Ntanos; Evangelos Spiliotis; Dimitris Askounis (Artif. Intell. Rev., 2025)

Wielding Occam's razor: Fast and frugal retail forecasting. - Fotios Petropoulos; Yael Grushka-Cockayne; Enno Siemsen; Evangelos Spiliotis (J. Oper. Res. Soc., 2025)