Forecasting

2018 - 2025

Current editor(s): Ms. Joss Chen

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Volume 5, issue 4, 2023

Exploring the Role of Online Courses in COVID-19 Crisis Management in the Supply Chain Sector—Forecasting Using Fuzzy Cognitive Map (FCM) Models pp. 1-23

Dimitrios K. Nasiopoulos, Dimitrios A. Arvanitidis, Dimitrios M. Mastrakoulis, Nikos Kanellos, Thomas Fotiadis and Dimitrios E. Koulouriotis

Macroeconomic Predictions Using Payments Data and Machine Learning pp. 1-32

James Chapman and Ajit Desai

An Extended Analysis of Temperature Prediction in Italy: From Sub-Seasonal to Seasonal Timescales pp. 1-16

Giuseppe Giunta, Alessandro Ceppi and Raffaele Salerno

Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction pp. 1-13

Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira

Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess pp. 1-13

Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek

Volume 5, issue 3, 2023

Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation pp. 1-14

Gayan Dharmarathne, Gabriela F. Nane, Andrew Robinson and Anca M. Hanea

Large Language Models: Their Success and Impact pp. 1-14

Spyros Makridakis, Fotios Petropoulos and Yanfei Kang

A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes pp. 1-23

Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie

Searching for Promisingly Trained Artificial Neural Networks pp. 1-26

Juan M. Lujano-Rojas, Rodolfo Dufo-López, Jesús Sergio Artal-Sevil and Eduardo García-Paricio

Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview pp. 1-24

Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari

Volume 5, issue 2, 2023

Predicting the Oil Price Movement in Commodity Markets in Global Economic Meltdowns pp. 1-16

Jakub Horák and Michaela Jannová

On the Disagreement of Forecasting Model Selection Criteria pp. 1-12

Evangelos Spiliotis, Fotios Petropoulos and Vassilios Assimakopoulos

Projected Future Flooding Pattern of Wabash River in Indiana and Fountain Creek in Colorado: An Assessment Utilizing Bias-Corrected CMIP6 Climate Data pp. 1-19

Swarupa Paudel, Neekita Joshi and Ajay Kalra

Automation in Regional Economic Synthetic Index Construction with Uncertainty Measurement pp. 1-19

Priscila Espinosa and Jose M. Pavía

Distribution Prediction of Decomposed Relative EVA Measure with Levy-Driven Mean-Reversion Processes: The Case of an Automotive Sector of a Small Open Economy pp. 1-19

Zdeněk Zmeškal, Dana Dluhošová, Karolina Lisztwanová, Antonín Pončík and Iveta Ratmanová

Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks pp. 1-15

Carla Sahori Seefoo Jarquin, Alessandro Gandelli, Francesco Grimaccia and Marco Mussetta

Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins pp. 1-15

Apostolos Ampountolas

Solving Linear Integer Models with Variable Bounding pp. 1-10

Elias Munapo, Joshua Chukwuere and Trust Tawanda

Volume 5, issue 1, 2023

Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data pp. 1-25

Venera Timiryanova, Irina Lakman, Vadim Prudnikov and Dina Krasnoselskaya

A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks pp. 1-16

Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli

Methodology for Optimizing Factors Affecting Road Accidents in Poland pp. 1-15

Piotr Gorzelanczyk and Henryk Tylicki

Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India pp. 1-15

Ansari Saleh Ahmar, Pawan Kumar Singh, R. Ruliana, Alok Kumar Pandey and Stuti Gupta

Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production pp. 1-29

Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol

Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications pp. 1-59

Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed

Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies pp. 1-18

Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva

Editorial for Special Issue: “Tourism Forecasting: Time-Series Analysis of World and Regional Data” pp. 1-3

João Paulo Teixeira and Ulrich Gunter

Acknowledgment to the Reviewers of Forecasting in 2022 pp. 1-2

Forecasting Editorial Office

Extracting Statistical Properties of Solar and Photovoltaic Power Production for the Scope of Building a Sophisticated Forecasting Framework pp. 1-21

Joseph Ndong and Ted Soubdhan

Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices pp. 1-21

Silvia Golia, Luigi Grossi and Matteo Pelagatti

Time Series Dataset Survey for Forecasting with Deep Learning pp. 1-21

Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen

Assessing Spurious Correlations in Big Search Data pp. 1-12

Jesse T. Richman and Ryan J. Roberts

Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States pp. 1-11

Bowen Long, Fangya Tan and Mark Newman

Intervention Time Series Analysis and Forecasting of Organ Donor Transplants in the US during the COVID-19 Era pp. 1-27

Supraja Malladi and Qiqi Lu

On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles pp. 1-14

Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin

Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil pp. 1-23

Florin Aliu, Jiří Kučera and Simona Hašková

Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study pp. 1-24

Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband and Abdelmajid El Bouardi

Coffee as an Identifier of Inflation in Selected US Agglomerations pp. 1-17

Marek Vochozka, Svatopluk Janek and Zuzana Rowland

Volume 4, issue 4, 2022

Forecasting Bitcoin Spikes: A GARCH-SVM Approach pp. 1-15

Theophilos Papadimitriou, Periklis Gogas and Athanasios Fotios Athanasiou

A Coordinated Analysis of Physical Reactivity to Daily Stressors: Age and Proactive Coping Matter pp. 1-15

Shevaun D. Neupert, Emily L. Smith and Margaret L. Schriefer

Sex Differential Dynamics in Coherent Mortality Models pp. 1-26

Snorre Jallbjørn and Søren Fiig Jarner

Ecological Forecasting and Operational Information Systems Support Sustainable Ocean Management pp. 1-29

Chaojiao Sun, Alistair J. Hobday, Scott A. Condie, Mark E. Baird, J. Paige Eveson, Jason R. Hartog, Anthony J. Richardson, Andrew D. L. Steven, Karen Wild-Allen, Russell C. Babcock, Dezhou Yang, Rencheng Yu and Mathieu Mongin

Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models pp. 1-16

Agnieszka Kleszcz and Krzysztof Rusek

The Contribution of Digital Technology to the Forecasting of Supply Chain Development, in IT Products, Modeling and Simulation of the Problem pp. 1-19

Dimitrios K. Nasiopoulos, Dimitrios M. Mastrakoulis and Dimitrios A. Arvanitidis

Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints pp. 1-11

Akshansh Mishra and Anish Dasgupta

Predicting Credit Scores with Boosted Decision Trees pp. 1-11

João Bastos

Precision and Reliability of Forecasts Performance Metrics pp. 1-22

Philippe St-Aubin and Bruno Agard

Evaluating the Comparative Accuracy of COVID-19 Mortality Forecasts: An Analysis of the First-Wave Mortality Forecasts in the United States pp. 1-21

Rahul Pathak and Daniel Williams

Coupling a Neural Network with a Spatial Downscaling Procedure to Improve Probabilistic Nowcast for Urban Rain Radars pp. 1-21

Marino Marrocu and Luca Massidda

Forecasting Daily and Weekly Passenger Demand for Urban Rail Transit Stations Based on a Time Series Model Approach pp. 1-21

Dung David Chuwang and Weiya Chen

Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) pp. 1-20

Yili Chen, Congdong Li and Han Wang

Systematic Assessment of the Effects of Space Averaging and Time Averaging on Weather Forecast Skill pp. 1-20

Ying Li and Samuel N. Stechmann

The Lasso and the Factor Zoo-Predicting Expected Returns in the Cross-Section pp. 1-35

Marcial Messmer and Francesco Audrino

Predictive Data Analytics for Electricity Fraud Detection Using Tuned CNN Ensembler in Smart Grid pp. 1-13

Nasir Ayub, Usman Ali, Kainat Mustafa, Syed Muhammad Mohsin and Sheraz Aslam

Modeling and Forecasting Somali Economic Growth Using ARIMA Models pp. 1-13

Abas Omar Mohamed

Volume 4, issue 3, 2022

Integrating Ecological Forecasting into Undergraduate Ecology Curricula with an R Shiny Application-Based Teaching Module pp. 1-30

Tadhg N. Moore, R. Quinn Thomas, Whitney M. Woelmer and Cayelan C. Carey

Examining Factors That Affect Movie Gross Using Gaussian Copula Marginal Regression pp. 1-14

Joshua Eklund and Jong-Min Kim

Can Groups Improve Expert Economic and Financial Forecasts? pp. 1-18

Warwick Smith, Anca M. Hanea and Mark A. Burgman

Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling pp. 1-22

Abhiru Aryal, Albira Acharya and Ajay Kalra

The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai pp. 1-11

Ahmed Rashad

Nowcasting GDP: An Application to Portugal pp. 1-15

João B. Assunção and Pedro Afonso Fernandes

Influence of Car Configurator Webpage Data from Automotive Manufacturers on Car Sales by Means of Correlation and Forecasting pp. 1-20

Juan Manuel García Sánchez, Xavier Vilasís Cardona and Alexandre Lerma Martín

Modelling Financial Markets during Times of Extreme Volatility: Evidence from the GameStop Short Squeeze pp. 1-20

Boris Andreev, Georgios Sermpinis and Charalampos Stasinakis

Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion pp. 1-20

Pieter Cawood and Terence Van Zyl

Volume 4, issue 2, 2022

Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry pp. 1-17

Chandadevi Giri and Yan Chen

Monitoring and Forecasting of Key Functions and Technologies for Automated Driving pp. 1-24

Christian Ulrich, Benjamin Frieske, Stephan A. Schmid and Horst E. Friedrich

Advances in Time Series Forecasting Development for Power Systems’ Operation with MLOps pp. 1-24

Gonca Gürses-Tran and Antonello Monti

Estimating Path Choice Models through Floating Car Data pp. 1-13

Antonio Comi and Antonio Polimeni

Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach pp. 1-27

Emmanuel Senyo Fianu

Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling pp. 1-18

El houssin Ouassou and Hafsa Taya

Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics pp. 1-18

Andrea Savio, Luigi De Giovanni and Mariangela Guidolin

A Monte Carlo Approach to Bitcoin Price Prediction with Fractional Ornstein–Uhlenbeck Lévy Process pp. 1-11

Jules Clement Mba, Sutene Mwambetania Mwambi and Edson Pindza

Diffusion of Solar PV Energy in the UK: A Comparison of Sectoral Patterns pp. 1-21

Anita M. Bunea, Mariangela Guidolin, Piero Manfredi and Pompeo Della Posta

Volume 4, issue 1, 2022

Acknowledgment to the Reviewers of Forecasting in 2021 pp. 1-2

Forecasting Editorial Office

Event-Based Evaluation of Electricity Price Ensemble Forecasts pp. 1-21

Arne Vogler and Florian Ziel

Projecting Mortality Rates to Extreme Old Age with the CBDX Model pp. 1-11

Kevin Dowd and David Blake

Irradiance Nowcasting by Means of Deep-Learning Analysis of Infrared Images pp. 1-11

Alessandro Niccolai, Seyedamir Orooji, Andrea Matteri, Emanuele Ogliari and Sonia Leva

Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia pp. 1-22

Sardorbek Musayev, Jonathan Mellor, Tara Walsh and Emmanouil Anagnostou

Prediction of Autonomy Loss in Alzheimer’s Disease pp. 1-10

Anne-Sophie Nicolas, Michel Ducher, Laurent Bourguignon, Virginie Dauphinot and Pierre Krolak-Salmon

Prevalence and Economic Costs of Absenteeism in an Aging Population—A Quasi-Stochastic Projection for Germany pp. 1-23

Patrizio Vanella, Christina Benita Wilke and Doris Söhnlein

SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting pp. 1-23

Roberto Vega, Leonardo Flores and Russell Greiner

Hybrid Surrogate Model for Timely Prediction of Flash Flood Inundation Maps Caused by Rapid River Overflow pp. 1-23

Andre D. L. Zanchetta and Paulin Coulibaly

Trend Lines and Japanese Candlesticks Applied to the Forecasting of Wind Speed Data Series pp. 1-17

Manfredo Guilizzoni and Paloma Maldonado Eizaguirre

A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance pp. 1-24

Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo

High-Resolution Gridded Air Temperature Data for the Urban Environment: The Milan Data Set pp. 1-24

Giuseppe Frustaci, Samantha Pilati, Cristina Lavecchia and Enea Marco Montoli

Explainable Ensemble Machine Learning for Breast Cancer Diagnosis Based on Ultrasound Image Texture Features pp. 1-13

Alireza Rezazadeh, Yasamin Jafarian and Ali Kord

A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling pp. 1-25

Thabang Mathonsi and Terence L. van Zyl

Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks pp. 1-16

Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta

Side-Length-Independent Motif ( SLIM ): Motif Discovery and Volatility Analysis in Time Series— SAX, MDL and the Matrix Profile pp. 1-19

Eoin Cartwright, Martin Crane and Heather J. Ruskin

Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks pp. 1-15

Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira

Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates pp. 1-15

Ufuk Beyaztas and Han Lin Shang

Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns pp. 1-32

Massimo Guidolin and Manuela Pedio

Analysing Historical and Modelling Future Soil Temperature at Kuujjuaq, Quebec (Canada): Implications on Aviation Infrastructure pp. 1-31

Andrew C. W. Leung, William A. Gough and Tanzina Mohsin

Do Risky Scenarios Affect Forecasts of Savings and Expenses? pp. 1-28

Shari De Baets, Dilek Önkal and Wasim Ahmed

Editorial for Special Issue: “Feature Papers of Forecasting 2021” pp. 1-3

Sonia Leva