Forecasting

2018 - 2026

Current editor(s): Ms. Joss Chen

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Volume 8, issue 1, 2026

Pollutant-Specific Deep Learning Architectures for Multi-Species Air Quality Bias Correction: Application to NO 2 and PM 10 in California pp. 1-29

Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris and Rafaella-Eleni P. Sotiropoulou

New Statistical Approach to Forecasting Earth’s Skin Temperature from MERRA-2 Satellite Using Semiparametric Time Series Regression with Mixed Additive Spline Fourier (STSR-MASF) pp. 1-29

Andrea Tri Rian Dani, Nur Chamidah, I. Nyoman Budiantara, Budi Lestari and Dursun Aydin

Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm pp. 1-20

Jae-Hyeok Seok, Hee-Wook Choi and Sang-Sam Lee

Multi-Scale Explainable AI for RMB Exchange Rate Drivers pp. 1-20

Jie Ji, Shouyang Wang and Yunjie Wei

A Comparative and Regional Study of Atmospheric Temperature in the Near-Space Environment Using Intelligent Modeling pp. 1-21

Zhihui Li, Zhiming Han, Huanwei Zhang and Qixiang Liao

Beyond Accuracy: The Cognitive Economy of Trust and Absorption in the Adoption of AI-Generated Forecasts pp. 1-21

Anne-Marie Sassenberg, Nirmal Acharya, Padmaja Kar and Mohammad Sadegh Eshaghi

Climate Indices as Potential Predictors in Empirical Long-Range Meteorological Forecasting Models pp. 1-21

Sergei Soldatenko, Genrikh Alekseev, Vladimir Loginov, Yaromir Angudovich and Irina Danilovich

An Explainable Voting Ensemble Framework for Early-Warning Forecasting of Corporate Financial Distress pp. 1-28

Lersak Phothong, Anupong Sukprasert, Sutana Boonlua, Prapaporn Chubsuwan, Nattakron Seetha and Rotcharin Kunsrison

A Highly Accurate and Efficient Statistical Framework for Short-Term Load Forecasting: A Case Study for Mexico pp. 1-24

Luis Conde-López, Monica Borunda, Gerardo Ruiz-Chavarría and Tomás Aparicio-Cárdenas

Advanced Techniques for Financial Distress Prediction pp. 1-19

Lee-Wen Yang, Nguyen Thi Thanh Binh and Jiang Meng Yi

Volume 7, issue 4, 2025

A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability pp. 1-21

Mahan Hajiabbasi Somehsaraie, Soheyla Tofighi, Zhaoan Wang, Jun Wang and Shaoping Xiao

Detecting Stablecoin Failure with Simple Thresholds and Panel Binary Models: The Pivotal Role of Lagged Market Capitalization and Volatility pp. 1-47

Dean Fantazzini

Research on Dynamic Hyperparameter Optimization Algorithm for University Financial Risk Early Warning Based on Multi-Objective Bayesian Optimization pp. 1-23

Yu Chao, Nur Fazidah Elias, Yazrina Yahya and Ruzzakiah Jenal

Rice Yield Forecasting in Northeast China with a Dual-Factor ARIMA Model Incorporating SPEI1-Sep. and Sown Area pp. 1-23

Song Nie and Zhi-Qiang Jiang

Enhancing Policy Insights: Machine Learning-Based Forecasting of Euro Area Inflation HICP and Subcomponents pp. 1-32

László Vancsura, Tibor Tatay and Tibor Bareith

A Bayesian Markov Switching Autoregressive Model with Time-Varying Parameters for Dynamic Economic Forecasting pp. 1-33

Syarifah Inayati, Nur Iriawan, Irhamah and Uha Isnaini

AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data pp. 1-48

Romulo Murucci Oliveira, Deivid Campos, Katia Vanessa Bicalho, Bruno da S. Macêdo, Matteo Bodini, Camila Martins Saporetti and Leonardo Goliatt

Deep Learning-Based Multi-Source Precipitation Forecasting in Arid Regions Using Different Optimizations: A Case Study from Konya, Turkey pp. 1-20

Vahdettin Demir

A Novel k -Nearest Neighbors Approach for Forecasting Sub-Seasonal Precipitation at Weather Observing Stations pp. 1-20

Sean Guidry Stanteen, Jianzhong Su, Paul Flanagan and Xunchang John Zhang

Decentralized Physical Infrastructure Networks (DePINs) for Solar Energy: The Impact of Network Density on Forecasting Accuracy and Economic Viability pp. 1-30

Marko Corn, Anže Murko and Primož Podržaj

Unveiling the Dynamics of Wholesale Sales and Business Cycle Impacts in Japan: An Extended Moving Linear Model Approach pp. 1-43

Koki Kyo and Hideo Noda

Can Simple Balancing Algorithms Improve School Dropout Forecasting? The Case of the State Education Network of Espírito Santo, Brazil pp. 1-19

Guilherme Armando Pereira and Kiara de Deus Demura

Shadows of Demand: Uncovering Early Warning Signals of Private Consumption Declines in Romania pp. 1-19

Laurențiu-Gabriel Frâncu, Alexandra Constantin, Maxim Cetulean, Diana Andreia Hristache, Monica Maria Dobrescu, Raluca Andreea Popa, Alexandra-Ioana Murariu and Roxana Lucia Ungureanu

A System Dynamics Framework for Market Share Forecasting in the Telecommunications Market pp. 1-38

Nikolaos Kanellos, Dimitrios Katsianis and Dimitris Varoutas

Comparison of Linear and Beta Autoregressive Models in Forecasting Nonstationary Percentage Time Series pp. 1-17

Carlo Grillenzoni

Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework pp. 1-16

Harrison Katz and Thomas Maierhofer

Bayesian LASSO with Categorical Predictors: Coding Strategies, Uncertainty Quantification, and Healthcare Applications pp. 1-27

Xi Lu, Jieni Li, Rajender R. Aparasu, Nebil Yusuf and Cen Wu

Machine Learning Forecasting of Direct Solar Radiation: A Multi-Model Evaluation with Trigonometric Cyclical Encoding pp. 1-25

Latif Bukari Rashid, Shahzada Zaman Shuja and Shafiqur Rehman

Cross-Regional Deep Learning for Air Quality Forecasting: A Comparative Study of CO, NO 2, O 3, PM 2.5, and PM 10 pp. 1-25

Adam Booth, Philip James, Stephen McGough and Ellis Solaiman

Smarter Chains, Safer Medicines: From Predictive Failures to Algorithmic Fixes in Global Pharmaceutical Logistics pp. 1-25

Kathleen Marshall Park, Sarthak Pattnaik, Natasya Liew, Triparna Kundu, Ali Ozcan Kures and Eugene Pinsky

EXPERT: EXchange Rate Prediction Using Encoder Representation from Transformers pp. 1-26

Efstratios Bilis, Theophilos Papadimitriou, Konstantinos Diamantaras and Konstantinos Goulianas

From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting pp. 1-29

Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu and Wai-Lun Lo

Non-Negative Forecast Reconciliation: Optimal Methods and Operational Solutions pp. 1-29

Daniele Girolimetto

Prediction of 3D Airspace Occupancy Using Machine Learning pp. 1-39

Cristian Lozano Tafur, Jaime Orduy Rodríguez, Pedro Melo Daza, Iván Rodríguez Barón, Danny Stevens Traslaviña and Juan Andrés Bermúdez

A New Hybrid Recurrent Intuitionistic Fuzzy Time Series Forecasting Method pp. 1-18

Turan Cansu, Eren Bas, Tamer Akkan and Erol Egrioglu

Demand Forecasting in the Automotive Industry: A Systematic Literature Review pp. 1-35

Nehalben Ranabhatt, Sérgio Barreto, Marco Pimpão and Pedro Prates

Carbon Trading Price Forecasting Based on Multidimensional News Text and Decomposition–Ensemble Model: The Case Study of China’s Pilot Regions pp. 1-36

Xu Wang, Yingjie Liu, Zhenao Guo, Tengfei Yang, Xu Gong and Zhichong Lyu

Volume 7, issue 3, 2025

Probabilistic Demand Forecasting in the Southeast Region of the Mexican Power System Using Machine Learning Methods pp. 1-16

Ivan Itai Bernal Lara, Roberto Jair Lorenzo Diaz, María de los Ángeles Sánchez Galván, Jaime Robles García, Mohamed Badaoui, David Romero Romero and Rodolfo Alfonso Moreno Flores

Short-Term Prediction in an Emergency Healthcare Unit: Comparison Between ARIMA, ANN, and Logistic Map Models pp. 1-16

Andres Eberhard Friedl Ackermann, Virginia Fani, Romeo Bandinelli and Miguel Afonso Sellitto

Study of Aircraft Icing Forecasting Methods and Their Application Scenarios over Eastern China pp. 1-15

Sha Lu, Chen Yang and Weixuan Shi

Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps pp. 1-49

László Vancsura, Tibor Tatay and Tibor Bareith

Exploiting Spiking Neural Networks for Click-Through Rate Prediction in Personalized Online Advertising Systems pp. 1-17

Albin Uruqi and Iosif Viktoratos

Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model pp. 1-19

Harrison Katz, Liz Medina and Robert E. Weiss

Forecasting Outcomes Using Multi-Option, Advantage-Sensitive Thurstone-Motivated Models pp. 1-19

László Gyarmati, Csaba Mihálykó and Éva Orbán-Mihálykó

Probabilistic Projections of South Korea’s Population Decline and Subnational Dynamics pp. 1-19

Jeongsoo Kim

NCD-Pred: Forecasting Multichannel Shipboard Electrical Power Demand Using Neighborhood-Constrained VMD pp. 1-19

Paolo Fazzini, Giuseppe La Tona, Marco Montuori, Matteo Diez and Maria Carmela Di Piazza

TimeGPT’s Potential in Cryptocurrency Forecasting: Efficiency, Accuracy, and Economic Value pp. 1-19

Minxing Wang, Pavel Braslavski and Dmitry I. Ignatov

Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning pp. 1-31

Lyne Imene Souadda, Ahmed Rami Halitim, Billel Benilles, José Manuel Oliveira and Patrícia Ramos

Forecasting Youth Unemployment Through Educational and Demographic Indicators: A Panel Time-Series Approach pp. 1-20

Arsen Tleppayev and Saule Zeinolla

SegmentedCrossformer—A Novel and Enhanced Cross-Time and Cross-Dimensional Transformer for Multivariate Time Series Forecasting pp. 1-20

Zijiang Yang and Tad Gonsalves

Energy Demand Forecasting Using Temporal Variational Residual Network pp. 1-21

Simachew Ashebir and Seongtae Kim

SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting pp. 1-36

Rasmi Ranjan Khansama, Rojalina Priyadarshini, Surendra Kumar Nanda, Rabindra Kumar Barik and Manob Jyoti Saikia

Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth pp. 1-36

Periklis Gogas, Theophilos Papadimitriou, Panagiotis Goumenidis, Andreas Kontos and Nikolaos Giannakis

A Wavelet–Attention–Convolution Hybrid Deep Learning Model for Accurate Short-Term Photovoltaic Power Forecasting pp. 1-29

Kaoutar Ait Chaoui, Hassan EL Fadil, Oumaima Choukai and Oumaima Ait Omar

Machine Learning-Based Prediction of External Pressure in High-Speed Rail Tunnels: Model Optimization and Comparison pp. 1-24

Xiazhou She, Yongxing Jia, Rui Li, Jianlin Xu, Yonggang Yang, Weiqiang Cao, Lei Xiao and Wenhao Zhao

Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model pp. 1-25

Hussein Alabdally, Mumtaz Ali, Mohammad Diykh, Ravinesh C. Deo, Anwar Ali Aldhafeeri, Shahab Abdulla and Aitazaz Ahsan Farooque

Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions pp. 1-25

Juan C. King and José M. Amigó

Enhancing Neural Architecture Search Using Transfer Learning and Dynamic Search Spaces for Global Horizontal Irradiance Prediction pp. 1-23

Inoussa Legrene, Tony Wong and Louis-A. Dessaint

An Extension of Laor Weight Initialization for Deep Time-Series Forecasting: Evidence from Thai Equity Risk Prediction pp. 1-27

Katsamapol Petchpol and Laor Boongasame

Volume 7, issue 2, 2025

Correction: Ferreira Lima dos Santos et al. Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns. Forecasting 2024, 6, 266–278 pp. 1-1

Fernando Ferreira Lima dos Santos, Farzaneh Khorsandi and Guilherme De Moura Araujo

Forecasting Robust Gaussian Process State Space Models for Assessing Intervention Impact in Internet of Things Time Series pp. 1-20

Patrick Toman, Nalini Ravishanker, Nathan Lally and Sanguthevar Rajasekaran

Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs pp. 1-20

Zhen Zeng and Yu Chen

Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O 3 ) Prediction in Johannesburg, South Africa pp. 1-19

Israel Edem Agbehadji and Ibidun Christiana Obagbuwa

Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors pp. 1-16

Chibuike Chiedozie Ibebuchi

Cognitive and Spatial Forecasting Model for Maritime Migratory Incidents: SIFM pp. 1-17

Donatien Agbissoh Otote and Antonio Vázquez Hoehne

Stochastic Model and Rhythm-Adaptive Technologies of Statistical Analysis and Forecasting of Economic Processes with Cyclic Components pp. 1-26

Serhii Lupenko and Andrii Horkunenko

Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data pp. 1-24

Yitong Bi, Wenkuan Xu, Lin Song, Molan Yang and Xiangqiang Zhang

A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka pp. 1-24

Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj and Musa Mammadov

Wind Speed Forecasting with Differentially Evolved Minimum-Bandwidth Filters and Gated Recurrent Units pp. 1-27

Khathutshelo Steven Sivhugwana and Edmore Ranganai

Dynamic Forecasting of Gas Consumption in Selected European Countries pp. 1-29

Mariangela Guidolin and Stefano Rizzelli

A Deep Learning-Based Prediction and Forecasting of Tomato Prices for the Cape Town Fresh Produce Market: A Model Comparative Analysis pp. 1-18

Emmanuel Ekene Okere and Vipin Balyan

Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning pp. 1-18

Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj and Emma E. Regentova

A Set of New Tools to Measure the Effective Value of Probabilistic Forecasts of Continuous Variables pp. 1-18

Josselin Le Gal La Salle, Mathieu David and Philippe Lauret

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets pp. 1-34

Parul Dubey, Pushkar Dubey and Pitshou N. Bokoro

Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model pp. 1-33

Israel Maingo, Thakhani Ravele and Caston Sigauke

Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change pp. 1-22

Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga-Pluta and Teerachai Amnuaylojaroen

Volume 7, issue 1, 2024

Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting pp. 1-28

Phumudzo Lloyd Seabe, Edson Pindza, Claude Rodrigue Bambe Moutsinga and Maggie Aphane

Methodology Based on BERT (Bidirectional Encoder Representations from Transformers) to Improve Solar Irradiance Prediction of Deep Learning Models Trained with Time Series of Spatiotemporal Meteorological Information pp. 1-21

Llinet Benavides-Cesar, Miguel-Ángel Manso-Callejo and Calimanut-Ionut Cira

Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain pp. 1-21

Javier Gómez-Gómez, Eduardo Gutiérrez de Ravé and Francisco J. Jiménez-Hornero

Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy pp. 1-21

Anderson M. Iung, Fernando L. Cyrino Oliveira, Andre L. M. Marcato and Guilherme Armando Pereira

Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems pp. 1-21

Xinyue Xu and Julian Wang

Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa pp. 1-20

Ely Ondo Ekogha and Pius A. Owolawi

Synthetic Demand Flow Generation Using the Proximity Factor pp. 1-20

Ekin Yalvac and Michael G. Kay

Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches pp. 1-24

Rose Ellen Macabiog and Jennifer Dela Cruz

Testing for Bias in Forecasts for Independent Multinomial Outcomes pp. 1-8

Philip Hans Franses and Richard Paap

Forecasting Wind Speed Using Climate Variables pp. 1-23

Rafael Araujo Couto, Paula Medina Maçaira Louro and Fernando Luiz Cyrino Oliveira

Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes pp. 1-27

Kehkashan Fatima and Hussain Shareef

The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions pp. 1-27

Manuel Muth

Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports pp. 1-14

Simiso Msomi and Paul-Francios Muzindutsi

White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting pp. 1-14

Hossein Hassani, Leila Marvian Mashhad, Manuela Royer-Carenzi, Mohammad Reza Yeganegi and Nadejda Komendantova