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Fotios Petropoulos, Gilbert Laporte, Emel Aktas, Sibel A. Alumur, Claudia Archetti, Hayriye Ayhan, Maria Battarra, Julia A. Bennell, Jean-Marie Bourjolly, John E. Boylan, Michèle Breton, David Canca, Laurent Charlin, Bo Chen, Cihan Tugrul Cicek, Louis Anthony Cox$suffix/text()$suffix/text(), Christine S.M. Currie, Erik Demeulemeester, Li Ding, Stephen M. Disney, Matthias Ehrgott, Martin J. Eppler, Güneş Erdoğan, Bernard Fortz, L. Alberto Franco, Jens Frische, Salvatore Greco, Amanda J. Gregory, Raimo P. Hämäläinen, Willy Herroelen, Mike Hewitt, Jan Holmström, John N. Hooker, Tuğçe Işık, Jill Johnes, Bahar Y. Kara, Özlem Karsu, Katherine Kent, Charlotte Köhler, Martin Kunc, Yong-Hong Kuo, Adam N. Letchford, Janny Leung, Dong Li, Haitao Li, Judit Lienert, Ivana Ljubić, Andrea Lodi, Sebastián Lozano, Virginie Lurkin, Silvano Martello, Ian G. McHale, Gerald Midgley, John D.W. Morecroft, Akshay Mutha, Ceyda Oğuz, Sanja Petrovic, Ulrich Pferschy, Harilaos N. Psaraftis, Sam Rose, Lauri Saarinen, Said Salhi, Jing-Sheng Song, Dimitrios Sotiros, Kathryn E. Stecke, Arne K. Strauss, İstenç Tarhan, Clemens Thielen, Paolo Toth, Tom Van Woensel, Greet Vanden Berghe, Christos Vasilakis, Vikrant Vaze, Daniele Vigo, Kai Virtanen, Xun Wang, Rafał Weron, Leroy White, Mike Yearworth, E. Alper Yıldırım, Georges Zaccour & Xuying Zhao. (2024) Operational Research: methods and applications. Journal of the Operational Research Society 75:3, pages 423-617.
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Budhi S. Wibowo. (2024) When and how to adjust statistical forecasts in supply chains? Insight from causal machine learning. Journal of Business Analytics 7:1, pages 25-41.
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Marwa Hasni, M. Zied Babai & Bahman Rostami-Tabar. A hybrid LSTM method for forecasting demands of medical items in humanitarian operations. International Journal of Production Research 0:0, pages 1-18.
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Dimitra I. Malliouri, Chara Kyriakidou, Vyron Moraitis, Dimitrios Vandarakis, Nikolas Martzikos, Fragkiska-Karmela Gad, Georgios-Angelos Hatiris & Vasilios Kapsimalis. (2024) A new approach for the assessment of coastal flooding risk. Application in Rhodes island, Greece. Applied Ocean Research 148, pages 104006.
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Elissaios Sarmas, Evangelos Spiliotis, Vangelis Marinakis, Marco Antonio Bucarelli, Francesca Santori & Haris Doukas. (2024) Revving up energy autonomy: A forecast-driven framework for reducing reverse power flow in microgrids. Sustainable Energy, Grids and Networks 38, pages 101376.
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Rosanna Mueller & Nuno Sobreira. (2024) Tourism forecasts after COVID-19: Evidence of Portugal. Annals of Tourism Research Empirical Insights 5:1, pages 100127.
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Zvi Schwartz, Jing Ma & Timothy Webb. (2023) The MSapeMER: a symmetric, scale-free and intuitive forecasting error measure for hospitality revenue management. International Journal of Contemporary Hospitality Management 36:6, pages 2035-2048.
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Mariaelena Berlotti, Sarah Di Grande & Salvatore Cavalieri. (2024) Proposal of a Machine Learning Approach for Traffic Flow Prediction. Sensors 24:7, pages 2348.
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Evangelos Spiliotis & Fotios Petropoulos. (2024) On the update frequency of univariate forecasting models. European Journal of Operational Research 314:1, pages 111-121.
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S. Al Wadi, Omar Al Singlawi, Jamil J. Jaber, Mohammad H. Saleh & Ali A. Shehadeh. (2024) Enhancing Predictive Accuracy through the Analysis of Banking Time Series: A Case Study from the Amman Stock Exchange. Journal of Risk and Financial Management 17:3, pages 98.
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Bas Jacobs, Hilde Tobi & Geerten M. Hengeveld. (2024) Linking error measures to model questions. Ecological Modelling 487, pages 110562.
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Md. Yeasin & Ranjit Kumar Paul. (2023) OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index. The Journal of Supercomputing 80:2, pages 1568-1597.
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Franko Pandžić & Tomislav Capuder. (2023) Advances in Short-Term Solar Forecasting: A Review and Benchmark of Machine Learning Methods and Relevant Data Sources. Energies 17:1, pages 97.
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Alexandros Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Evangelos Karakolis, Spiros Mouzakitis, John Psarras & Dimitris Askounis. (2023) Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series. Mathematics 12:1, pages 19.
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Sarah Di Grande, Mariaelena Berlotti, Salvatore Cavalieri & Roberto Gueli. (2023) A Machine Learning Approach for Hydroelectric Power Forecasting. A Machine Learning Approach for Hydroelectric Power Forecasting.
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Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, Vangelis Marinakis & Haris Doukas. (2023) Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models. Renewable Energy 216, pages 118997.
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Abdel-Rahman Al-Ghuwairi, Yousef Sharrab, Dimah Al-Fraihat, Majed AlElaimat, Ayoub Alsarhan & Abdulmohsen Algarni. (2023) Intrusion detection in cloud computing based on time series anomalies utilizing machine learning. Journal of Cloud Computing 12:1.
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Muhammad Shukri Che Lah, Nureize Arbaiy & Pei-Chun Lin. (2023) ARIMA-LP: A Hybrid Model for Air Pollution Forecasting with Uncertainty Data. ARIMA-LP: A Hybrid Model for Air Pollution Forecasting with Uncertainty Data.
Fotios Petropoulos, Evangelos Spiliotis & Anastasios Panagiotelis. (2023) Model combinations through revised base rates. International Journal of Forecasting 39:3, pages 1477-1492.
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Evangelos Spiliotis, Fotios Petropoulos & Vassilios Assimakopoulos. (2023) On the Disagreement of Forecasting Model Selection Criteria. Forecasting 5:2, pages 487-498.
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Dimitrios Effrosynidis, Evangelos Spiliotis, Georgios Sylaios & Avi Arampatzis. (2023) Time series and regression methods for univariate environmental forecasting: An empirical evaluation. Science of The Total Environment 875, pages 162580.
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Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis & Haris Doukas. (2023) Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models. Applied Sciences 13:4, pages 2749.
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Iwan R. Setiawan, Ahmad Z. Fanani, Given Name Surname & Purwanto Purwanto. (2023) Optimization of the Use of Artificial Neural Network Models for Accuracy Data Measurement Palm Oil Production Prediction Rate. Optimization of the Use of Artificial Neural Network Models for Accuracy Data Measurement Palm Oil Production Prediction Rate.
Diana Neves, Magda Monteiro & Maria José Felício. (2023) Inventory Improvement in Tyre Retail through Demand Forecasting. Inventory Improvement in Tyre Retail through Demand Forecasting.
Lucas P. Ramos, Dimas I. Alves, Leonardo T. Duarte, Mats I. Pettersson & Renato Machado. (2023) Robust Principal Component Analysis Techniques for Ground Scene Estimation in SAR Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16, pages 9697-9710.
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Jun Hao, Qianqian Feng, Jiaxin Yuan, Xiaolei Sun & Jianping Li. (2022) A dynamic ensemble learning with multi-objective optimization for oil prices prediction. Resources Policy 79, pages 102956.
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David E. Valencia-Valencia, Diana Lopez-Alvarez, Nelson Rivera-Franco, Andres Castillo, Johan S. Piña, Carlos A. Pardo & Beatriz Parra. (2022) PredictION: a predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2. PeerJ 10, pages e14425.
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Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer & Ralf Mikut. (2022) Review of automated time series forecasting pipelines. WIREs Data Mining and Knowledge Discovery 12:6.
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Suzilah Ismail, Robert Fildes, Rohani Ahmad, Wan Najdah Wan Mohamad Ali & Topek Omar. (2022) The practicality of Malaysia dengue outbreak forecasting model as an early warning system. Infectious Disease Modelling 7:3, pages 510-525.
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Diamantis Koutsandreas, Evangelos Spiliotis, Haris Doukas & John Psarras. (2021) What Is the Macroeconomic Impact of Higher Decarbonization Speeds? The Case of Greece. Energies 14:8, pages 2235.
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