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Content
May 2026, Volume 8, Issue 3
- 1-30 Singular Design Foresight: A Foundational Method for Auditable Anticipation and Decision Closure
by Pablo Lara-Navarra & Antonia Ferrer-Sapena & Enrique A. Sánchez-Pérez
April 2026, Volume 8, Issue 3
- 1-25 Hybrid Clustering for Retail Demand Forecasting: Combining Rule-Based and Machine Learning Methods
by Jung-Hyuk Kim & Nam-Wook Cho - 1-37 A Hybrid Linear–Gaussian Process Framework with Adaptive Covariance Selection for Spatio-Temporal Wind Speed Forecasting
by Thinawanga Hangwani Tshisikhawe & Caston Sigauke & Timotheous Brian Darikwa & Saralees Nadarajah - 1-42 Garbage In, Garbage Out? The Impact of Data Quality on the Performance of Financial Distress Prediction Models
by Veronika Labosova & Lucia Duricova & Katarina Kramarova & Marek Durica
April 2026, Volume 8, Issue 2
- 1-19 Performance Evaluation of Advanced RNNs for Accurate Prediction of Adjusted Closing Gold Prices
by Thabang Molefi & Tshegofatso Botlhoko & Tlhalitshi Volition Montshiwa - 1-21 Forecasting Spatial Inequalities in Cardiovascular Disease-Related Deaths: A Municipal-Level Assessment of Progress Toward SDG 3.4 in Serbia
by Suzana Lović Obradović & Dunja Demirović Bajrami & Marko Filipović - 1-21 GDP Forecasting with ARIMA, Hidden Markov Models, and an HMM–LSTM Hybrid: Evidence from Five Economies
by Achilleas Tampouris & Chaido Dritsaki - 1-24 A Comparative Analysis of Green and Brown Stocks: The Impact of Uncertainty Indices on Tail-Risk Forecasting
by Antonio Naimoli & Giuseppe Storti - 1-35 Leakage-Controlled Horizon-Specific Model Selection for Daily Equity Forecasting: An Automated Multi-Model Pipeline
by Francisco Augusto Nuñez Perez & Francisco Javier Aguilar Mosqueda & Adrian Ramos Cuevas & Jaqueline Muñoz Beltran & Jose Cruz Nuñez Perez - 1-50 Advances in Similar Day Methods for Short-Term Load Forecasting for Power Systems
by Monica Borunda & Luis Conde-López & Gerardo Ruiz-Chavarría & Guadalupe Lopez Lopez & Victor M. Alvarado & Edgardo de Jesús Carrera Avendaño
March 2026, Volume 8, Issue 2
- 1-18 External Macroeconomic Variables and Stock Returns: Evidence from Conventional and Islamic Indices
by Muhammad Hanif - 1-19 The Symmetric Mean Absolute Percentage Error: Unnecessary or Dangerous
by Stephan Kolassa - 1-24 The Impact of Occupancy Dynamics on Indoor CO 2 Forecasting: A Cross-Scenario Evaluation
by Peio Garcia-Pinilla & Aranzazu Jurio & Maria Figols & Daniel Paternain - 1-26 Assessing Historical and Simulating Future Land-Use and Land-Cover Change Through an Integrated Cellular Automata and Machine-Learning Framework in Urbanizing Areas
by Roshan Sewa & Bibas Pokhrel & Bikash Subedi & Roshan Raj Karki & Bishal Poudel & Ajay Kalra - 1-27 A Combined Kalman Filter–LSTM to Forecast Downside Risk of BWP/USD Returns: A Bottom-Up Hierarchical Approach
by Katleho Makatjane & Diteboho Xaba - 1-29 Precipitation Assessment and Attribution Based on LBGM Ensemble Forecast for the Extreme Rainstorm on 20 July 2021 in Zhengzhou
by Yijia Zhao & Chaohui Chen & Yongqiang Jiang & Jiajun Li & Xiong Chen & Jiwen Zhang - 1-32 When Does Central Bank Communication Matter? Textual Information, Dynamics, and Regularization
by Igor Barbosa de Andrade Duarte & Márcio Poletti Laurini - 1-37 Predictive Monitoring of Wage-Band Classification in GOSI Data with Leakage Control and Out-of-Time Validation
by Ali Louati & Hassen Louati - 1-38 From Adoption Diffusion to Dimensioning: Probabilistic Forecasting of 5G/NB-IoT Demand via Monte Carlo Uncertainty Propagation
by Nikolaos Kanellos & Dimitrios Katsianis & Dimitris Varoutas
February 2026, Volume 8, Issue 2
- 1-32 Crude Oil Shocks and Saudi Stock Returns: An Integrated Granger–LSTM–XGBoost Analysis
by Priyanka Aggarwal & Nevi Danila & Eddy Suprihadi & Manoj Kumar Manish
February 2026, Volume 8, Issue 1
- 1-19 Projection of Changes in Coastal Water Temperature of the Baltic Sea up to 2100
by Mariusz Ptak & Mariusz Sojka & Soufiane Haddout & Teerachai Amnuaylojaroen - 1-20 Satellite Data and Artificial Intelligence for FINtech
by Alberto Garinei & Massimiliano Proietti & Alessandro Vispa & Stefano Speziali & Giovanni Bartolini & Marcello Marconi & Emanuele Piccioni & Matteo Martini & Francesca Fallucchi & Romeo Giuliano & Ernesto William De Luca & Umberto Di Matteo & Valerio Lemma - 1-23 Series-Core Fusion Based Multivariate Variational Mode Decomposition for Short-Term Wind Power Prediction Using Multiple Meteorological Data
by Wentian Lu & Zhenming Lu & Wenjie Liu & Yifeng Cao - 1-25 A Comparative Study of Univariate Models for Baltic Dry Index Forecasting
by Juan Huang & Ching-Wu Chu & Hsiu-Li Hsu - 1-26 The Impact of ESG Performance on Financial Performance: Evidence from Listed Companies in Thailand
by Umawadee Detthamrong & Rapeepat Klangbunrueang & Wirapong Chansanam & Rasita Dasri - 1-28 Machine Learning Forecasting of Strong Subsequent Events in New Zealand Using the NESTORE Algorithm
by Letizia Caravella & Stefania Gentili - 1-32 Investigation of Sudden Stratospheric Warming (SSW) Events Between 1980 and 2100
by Simla Durmus & Deniz Demirhan & Ismail Gultepe & Onur Durmus - 1-34 Forecasting Municipal Financial Distress in South Africa: A Machine Learning Approach
by Nkosinathi Emmanuel Radebe & Bomi Cyril Nomlala & Frank Ranganai Matenda
January 2026, Volume 8, Issue 1
- 1-20 Wind Shear Prediction at Jeju International Airport Using a Tree-Based Machine Learning Algorithm
by Jae-Hyeok Seok & Hee-Wook Choi & Sang-Sam Lee - 1-20 Multi-Scale Explainable AI for RMB Exchange Rate Drivers
by Jie Ji & Shouyang Wang & Yunjie Wei - 1-21 Beyond Accuracy: The Cognitive Economy of Trust and Absorption in the Adoption of AI-Generated Forecasts
by Anne-Marie Sassenberg & Nirmal Acharya & Padmaja Kar & Mohammad Sadegh Eshaghi - 1-21 Climate Indices as Potential Predictors in Empirical Long-Range Meteorological Forecasting Models
by Sergei Soldatenko & Genrikh Alekseev & Vladimir Loginov & Yaromir Angudovich & Irina Danilovich - 1-24 A Highly Accurate and Efficient Statistical Framework for Short-Term Load Forecasting: A Case Study for Mexico
by Luis Conde-López & Monica Borunda & Gerardo Ruiz-Chavarría & Tomás Aparicio-Cárdenas - 1-28 An Explainable Voting Ensemble Framework for Early-Warning Forecasting of Corporate Financial Distress
by Lersak Phothong & Anupong Sukprasert & Sutana Boonlua & Prapaporn Chubsuwan & Nattakron Seetha & Rotcharin Kunsrison - 1-29 Pollutant-Specific Deep Learning Architectures for Multi-Species Air Quality Bias Correction: Application to NO 2 and PM 10 in California
by Ioannis Stergiou & Nektaria Traka & Dimitrios Melas & Efthimios Tagaris & Rafaella-Eleni P. Sotiropoulou - 1-29 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)
by Andrea Tri Rian Dani & Nur Chamidah & I. Nyoman Budiantara & Budi Lestari & Dursun Aydin
December 2025, Volume 8, Issue 1
- 1-19 Advanced Techniques for Financial Distress Prediction
by Lee-Wen Yang & Nguyen Thi Thanh Binh & Jiang Meng Yi - 1-21 A Comparative and Regional Study of Atmospheric Temperature in the Near-Space Environment Using Intelligent Modeling
by Zhihui Li & Zhiming Han & Huanwei Zhang & Qixiang Liao
November 2025, Volume 7, Issue 4
- 1-18 A New Hybrid Recurrent Intuitionistic Fuzzy Time Series Forecasting Method
by Turan Cansu & Eren Bas & Tamer Akkan & Erol Egrioglu - 1-19 Shadows of Demand: Uncovering Early Warning Signals of Private Consumption Declines in Romania
by Laurențiu-Gabriel Frâncu & Alexandra Constantin & Maxim Cetulean & Diana Andreia Hristache & Monica Maria Dobrescu & Raluca Andreea Popa & Alexandra-Ioana Murariu & Roxana Lucia Ungureanu - 1-23 Rice Yield Forecasting in Northeast China with a Dual-Factor ARIMA Model Incorporating SPEI1-Sep. and Sown Area
by Song Nie & Zhi-Qiang Jiang - 1-25 Cross-Regional Deep Learning for Air Quality Forecasting: A Comparative Study of CO, NO 2 , O 3 , PM 2.5 , and PM 10
by Adam Booth & Philip James & Stephen McGough & Ellis Solaiman - 1-27 Bayesian LASSO with Categorical Predictors: Coding Strategies, Uncertainty Quantification, and Healthcare Applications
by Xi Lu & Jieni Li & Rajender R. Aparasu & Nebil Yusuf & Cen Wu - 1-35 Demand Forecasting in the Automotive Industry: A Systematic Literature Review
by Nehalben Ranabhatt & Sérgio Barreto & Marco Pimpão & Pedro Prates - 1-36 Carbon Trading Price Forecasting Based on Multidimensional News Text and Decomposition–Ensemble Model: The Case Study of China’s Pilot Regions
by Xu Wang & Yingjie Liu & Zhenao Guo & Tengfei Yang & Xu Gong & Zhichong Lyu - 1-38 A System Dynamics Framework for Market Share Forecasting in the Telecommunications Market
by Nikolaos Kanellos & Dimitrios Katsianis & Dimitris Varoutas - 1-47 Detecting Stablecoin Failure with Simple Thresholds and Panel Binary Models: The Pivotal Role of Lagged Market Capitalization and Volatility
by Dean Fantazzini
October 2025, Volume 7, Issue 4
- 1-16 Forecasting the U.S. Renewable-Energy Mix with an ALR-BDARMA Compositional Time-Series Framework
by Harrison Katz & Thomas Maierhofer - 1-17 Comparison of Linear and Beta Autoregressive Models in Forecasting Nonstationary Percentage Time Series
by Carlo Grillenzoni - 1-19 Can Simple Balancing Algorithms Improve School Dropout Forecasting? The Case of the State Education Network of Espírito Santo, Brazil
by Guilherme Armando de Almeida Pereira & Kiara de Deus Demura - 1-20 Deep Learning-Based Multi-Source Precipitation Forecasting in Arid Regions Using Different Optimizations: A Case Study from Konya, Turkey
by Vahdettin Demir - 1-23 Research on Dynamic Hyperparameter Optimization Algorithm for University Financial Risk Early Warning Based on Multi-Objective Bayesian Optimization
by Yu Chao & Nur Fazidah Elias & Yazrina Yahya & Ruzzakiah Jenal - 1-25 Machine Learning Forecasting of Direct Solar Radiation: A Multi-Model Evaluation with Trigonometric Cyclical Encoding
by Latif Bukari Rashid & Shahzada Zaman Shuja & Shafiqur Rehman - 1-26 EXPERT: EXchange Rate Prediction Using Encoder Representation from Transformers
by Efstratios Bilis & Theophilos Papadimitriou & Konstantinos Diamantaras & Konstantinos Goulianas - 1-29 From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting
by Zhicong Song & Harris Sik-Ho Tsang & Richard Tai-Chiu Hsung & Yulin Zhu & Wai-Lun Lo - 1-29 Non-Negative Forecast Reconciliation: Optimal Methods and Operational Solutions
by Daniele Girolimetto - 1-32 Enhancing Policy Insights: Machine Learning-Based Forecasting of Euro Area Inflation HICP and Subcomponents
by László Vancsura & Tibor Tatay & Tibor Bareith - 1-39 Prediction of 3D Airspace Occupancy Using Machine Learning
by Cristian Lozano Tafur & Jaime Orduy Rodríguez & Pedro Melo Daza & Iván Rodríguez Barón & Danny Stevens Traslaviña & Juan Andrés Bermúdez
September 2025, Volume 7, Issue 4
December 2025, Volume 7, Issue 4
- 1-20 A Novel k -Nearest Neighbors Approach for Forecasting Sub-Seasonal Precipitation at Weather Observing Stations
by Sean Guidry Stanteen & Jianzhong Su & Paul Flanagan & Xunchang John Zhang - 1-21 A New Loss Function for Enhancing Peak Prediction in Time Series Data with High Variability
by Mahan Hajiabbasi Somehsaraie & Soheyla Tofighi & Zhaoan Wang & Jun Wang & Shaoping Xiao - 1-25 Smarter Chains, Safer Medicines: From Predictive Failures to Algorithmic Fixes in Global Pharmaceutical Logistics
by Kathleen Marshall Park & Sarthak Pattnaik & Natasya Liew & Triparna Kundu & Ali Ozcan Kures & Eugene Pinsky - 1-30 Decentralized Physical Infrastructure Networks (DePINs) for Solar Energy: The Impact of Network Density on Forecasting Accuracy and Economic Viability
by Marko Corn & Anže Murko & Primož Podržaj - 1-33 A Bayesian Markov Switching Autoregressive Model with Time-Varying Parameters for Dynamic Economic Forecasting
by Syarifah Inayati & Nur Iriawan & Irhamah & Uha Isnaini - 1-48 AutoML-Based Prediction of Unconfined Compressive Strength of Stabilized Soils: A Multi-Dataset Evaluation on Worldwide Experimental Data
by Romulo Murucci Oliveira & Deivid Campos & Katia Vanessa Bicalho & Bruno da S. Macêdo & Matteo Bodini & Camila Martins Saporetti & Leonardo Goliatt
June 2025, Volume 7, Issue 3
- 1-19 Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by Harrison Katz & Liz Medina & Robert E. Weiss - 1-19 Forecasting Outcomes Using Multi-Option, Advantage-Sensitive Thurstone-Motivated Models
by László Gyarmati & Csaba Mihálykó & Éva Orbán-Mihálykó - 1-24 Machine Learning-Based Prediction of External Pressure in High-Speed Rail Tunnels: Model Optimization and Comparison
by Xiazhou She & Yongxing Jia & Rui Li & Jianlin Xu & Yonggang Yang & Weiqiang Cao & Lei Xiao & Wenhao Zhao - 1-31 Optimizing Credit Risk Prediction for Peer-to-Peer Lending Using Machine Learning
by Lyne Imene Souadda & Ahmed Rami Halitim & Billel Benilles & José Manuel Oliveira & Patrícia Ramos
August 2025, Volume 7, Issue 3
- 1-19 NCD-Pred: Forecasting Multichannel Shipboard Electrical Power Demand Using Neighborhood-Constrained VMD
by Paolo Fazzini & Giuseppe La Tona & Marco Montuori & Matteo Diez & Maria Carmela Di Piazza - 1-20 SegmentedCrossformer—A Novel and Enhanced Cross-Time and Cross-Dimensional Transformer for Multivariate Time Series Forecasting
by Zijiang Yang & Tad Gonsalves - 1-21 Energy Demand Forecasting Using Temporal Variational Residual Network
by Simachew Ashebir & Seongtae Kim - 1-23 Enhancing Neural Architecture Search Using Transfer Learning and Dynamic Search Spaces for Global Horizontal Irradiance Prediction
by Inoussa Legrene & Tony Wong & Louis-A. Dessaint - 1-25 Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
by Hussein Alabdally & Mumtaz Ali & Mohammad Diykh & Ravinesh C. Deo & Anwar Ali Aldhafeeri & Shahab Abdulla & Aitazaz Ahsan Farooque - 1-29 A Wavelet–Attention–Convolution Hybrid Deep Learning Model for Accurate Short-Term Photovoltaic Power Forecasting
by Kaoutar Ait Chaoui & Hassan EL Fadil & Oumaima Choukai & Oumaima Ait Omar
September 2025, Volume 7, Issue 3
- 1-15 Study of Aircraft Icing Forecasting Methods and Their Application Scenarios over Eastern China
by Sha Lu & Chen Yang & Weixuan Shi - 1-16 Short-Term Prediction in an Emergency Healthcare Unit: Comparison Between ARIMA, ANN, and Logistic Map Models
by Andres Eberhard Friedl Ackermann & Virginia Fani & Romeo Bandinelli & Miguel Afonso Sellitto - 1-19 TimeGPT’s Potential in Cryptocurrency Forecasting: Efficiency, Accuracy, and Economic Value
by Minxing Wang & Pavel Braslavski & Dmitry I. Ignatov - 1-25 Integration of LSTM Networks in Random Forest Algorithms for Stock Market Trading Predictions
by Juan C. King & José M. Amigó - 1-27 An Extension of Laor Weight Initialization for Deep Time-Series Forecasting: Evidence from Thai Equity Risk Prediction
by Katsamapol Petchpol & Laor Boongasame - 1-36 SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting
by Rasmi Ranjan Khansama & Rojalina Priyadarshini & Surendra Kumar Nanda & Rabindra Kumar Barik & Manob Jyoti Saikia - 1-36 Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth
by Periklis Gogas & Theophilos Papadimitriou & Panagiotis Goumenidis & Andreas Kontos & Nikolaos Giannakis
July 2025, Volume 7, Issue 3
- 1-16 Probabilistic Demand Forecasting in the Southeast Region of the Mexican Power System Using Machine Learning Methods
by Ivan Itai Bernal Lara & Roberto Jair Lorenzo Diaz & María de los Ángeles Sánchez Galván & Jaime Robles García & Mohamed Badaoui & David Romero Romero & Rodolfo Alfonso Moreno Flores - 1-17 Exploiting Spiking Neural Networks for Click-Through Rate Prediction in Personalized Online Advertising Systems
by Albin Uruqi & Iosif Viktoratos - 1-19 Probabilistic Projections of South Korea’s Population Decline and Subnational Dynamics
by Jeongsoo Kim - 1-20 Forecasting Youth Unemployment Through Educational and Demographic Indicators: A Panel Time-Series Approach
by Arsen Tleppayev & Saule Zeinolla - 1-49 Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps
by László Vancsura & Tibor Tatay & Tibor Bareith
May 2025, Volume 7, Issue 2
- 1-17 Cognitive and Spatial Forecasting Model for Maritime Migratory Incidents: SIFM
by Donatien Agbissoh Otote & Antonio Vázquez Hoehne - 1-18 A Deep Learning-Based Prediction and Forecasting of Tomato Prices for the Cape Town Fresh Produce Market: A Model Comparative Analysis
by Emmanuel Ekene Okere & Vipin Balyan - 1-18 Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning
by Kamran Hassanpouri Baesmat & Zeinab Farrokhi & Grzegorz Chmaj & Emma E. Regentova - 1-20 Forecasting Robust Gaussian Process State Space Models for Assessing Intervention Impact in Internet of Things Time Series
by Patrick Toman & Nalini Ravishanker & Nathan Lally & Sanguthevar Rajasekaran - 1-22 Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change
by Mariusz Ptak & Mariusz Sojka & Katarzyna Szyga-Pluta & Teerachai Amnuaylojaroen - 1-26 Stochastic Model and Rhythm-Adaptive Technologies of Statistical Analysis and Forecasting of Economic Processes with Cyclic Components
by Serhii Lupenko & Andrii Horkunenko - 1-29 Dynamic Forecasting of Gas Consumption in Selected European Countries
by Mariangela Guidolin & Stefano Rizzelli
April 2025, Volume 7, Issue 2
- 1-1 Correction: Ferreira Lima dos Santos et al. Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns. Forecasting 2024, 6 , 266–278
by Fernando Ferreira Lima dos Santos & Farzaneh Khorsandi & Guilherme De Moura Araujo - 1-16 Day-Ahead Energy Price Forecasting with Machine Learning: Role of Endogenous Predictors
by Chibuike Chiedozie Ibebuchi - 1-19 Mode Decomposition Bi-Directional Long Short-Term Memory (BiLSTM) Attention Mechanism and Transformer (AMT) Model for Ozone (O 3 ) Prediction in Johannesburg, South Africa
by Israel Edem Agbehadji & Ibidun Christiana Obagbuwa - 1-33 Volatility Modelling of the Johannesburg Stock Exchange All Share Index Using the Family GARCH Model
by Israel Maingo & Thakhani Ravele & Caston Sigauke
June 2025, Volume 7, Issue 2
- 1-18 A Set of New Tools to Measure the Effective Value of Probabilistic Forecasts of Continuous Variables
by Josselin Le Gal La Salle & Mathieu David & Philippe Lauret - 1-20 Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs
by Zhen Zeng & Yu Chen - 1-24 Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data
by Yitong Bi & Wenkuan Xu & Lin Song & Molan Yang & Xiangqiang Zhang - 1-24 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
by Shanthi Saubhagya & Chandima Tilakaratne & Pemantha Lakraj & Musa Mammadov - 1-27 Wind Speed Forecasting with Differentially Evolved Minimum-Bandwidth Filters and Gated Recurrent Units
by Khathutshelo Steven Sivhugwana & Edmore Ranganai - 1-34 A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets
by Parul Dubey & Pushkar Dubey & Pitshou N. Bokoro
January 2025, Volume 7, Issue 1
- 1-8 Testing for Bias in Forecasts for Independent Multinomial Outcomes
by Philip Hans Franses & Richard Paap - 1-21 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
by Llinet Benavides-Cesar & Miguel-Ángel Manso-Callejo & Calimanut-Ionut Cira - 1-21 Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain
by Javier Gómez-Gómez & Eduardo Gutiérrez de Ravé & Francisco J. Jiménez-Hornero - 1-21 Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy
by Anderson M. Iung & Fernando L. Cyrino Oliveira & Andre L. M. Marcato & Guilherme A. A. Pereira - 1-27 The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions
by Manuel Muth
March 2025, Volume 7, Issue 1
- 1-20 Synthetic Demand Flow Generation Using the Proximity Factor
by Ekin Yalvac & Michael G. Kay - 1-23 Forecasting Wind Speed Using Climate Variables
by Rafael Araujo Couto & Paula Medina Maçaira Louro & Fernando Luiz Cyrino Oliveira - 1-24 Multifeature-Driven Multistep Wind Speed Forecasting Using NARXR and Modified VMD Approaches
by Rose Ellen Macabiog & Jennifer Dela Cruz - 1-27 Dynamic Bayesian Network Model for Overhead Power Lines Affected by Hurricanes
by Kehkashan Fatima & Hussain Shareef
February 2025, Volume 7, Issue 1
- 1-14 White Noise and Its Misapplications: Impacts on Time Series Model Adequacy and Forecasting
by Hossein Hassani & Leila Marvian Mashhad & Manuela Royer-Carenzi & Mohammad Reza Yeganegi & Nadejda Komendantova - 1-14 Exchange Rates, Supply Chain Activity/Disruption Effects, and Exports
by Simiso Msomi & Paul-Francios Muzindutsi - 1-21 Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems
by Xinyue Xu & Julian Wang
December 2024, Volume 7, Issue 1
- 1-20 Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa
by Ely Ondo Ekogha & Pius A. Owolawi - 1-28 Temporal Attention-Enhanced Stacking Networks: Revolutionizing Multi-Step Bitcoin Forecasting
by Phumudzo Lloyd Seabe & Edson Pindza & Claude Rodrigue Bambe Moutsinga & Maggie Aphane
November 2024, Volume 6, Issue 4
- 1-13 Constructing Cybersecurity Stocks Portfolio Using AI
by Avishay Aiche & Zvi Winer & Gil Cohen - 1-19 Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models
by Bishal Poudel & Dewasis Dahal & Mandip Banjara & Ajay Kalra - 1-20 Forecasting Hydropower with Innovation Diffusion Models: A Cross-Country Analysis
by Farooq Ahmad & Livio Finos & Mariangela Guidolin - 1-20 Forecasting Raw Material Yield in the Tanning Industry: A Machine Learning Approach
by Ismael Cristofer Baierle & Leandro Haupt & João Carlos Furtado & Eluza Toledo Pinheiro & Miguel Afonso Sellitto - 1-25 Synergy of Modern Analytics and Innovative Managerial Decision-Making in the Turbulent and Uncertain New Normal
by Maria Kovacova & Eva Kalinova & Pavol Durana & Katarina Frajtova Michalikova - 1-26 Projecting Climate Change Impacts on Channel Depletion in the Sacramento–San Joaquin Delta of California in the 21st Century
by Sohrab Salehi & Seyed Ali Akbar Salehi Neyshabouri & Andrew Schwarz & Minxue He - 1-28 Granger Causality-Based Forecasting Model for Rainfall at Ratnapura Area, Sri Lanka: A Deep Learning Approach
by Shanthi Saubhagya & Chandima Tilakaratne & Pemantha Lakraj & Musa Mammadov
December 2024, Volume 6, Issue 4
- 1-17 Is Football Unpredictable? Predicting Matches Using Neural Networks
by Luiz E. Luiz & Gabriel Fialho & João P. Teixeira
October 2024, Volume 6, Issue 4
- 1-16 Climate Risks and Real Gold Returns over 750 Years
by Rangan Gupta & Anandamayee Majumdar & Christian Pierdzioch & Onur Polat - 1-16 A Foresight Framework for the Labor Market with Special Reference to Managerial Roles—Toward Diversified Skill Portfolios
by Anna-Maria Kanzola & Panagiotis E. Petrakis - 1-17 Does Google Analytics Improve the Prediction of Tourism Demand Recovery?
by Ilsé Botha & Andrea Saayman - 1-17 Using Machine Deep Learning AI to Improve Forecasting of Tax Payments for Corporations
by Charles Swenson - 1-23 Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory
by Kgothatso Makubyane & Daniel Maposa - 1-27 Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
by Sambandh Bhusan Dhal & Debashish Kar
June 2024, Volume 6, Issue 3
- 1-17 Modeling CO 2 Emission Forecasting in Energy Consumption of the Industrial Building Sector under Sustainability Policy in Thailand: Enhancing the LISREL-LGM Model
by Chaiyan Junsiri & Pruethsan Sutthichaimethee & Nathaporn Phong-a-ran
July 2024, Volume 6, Issue 3
- 1-17 R&D Expenditures and Analysts’ Earnings Forecasts
by Taoufik Elkemali - 1-18 A Delphi–Fuzzy Delphi Study on SDGs 9 and 12 after COVID-19: Case Study in Brazil
by Isabela Caroline de Sousa & Tiago F. A. C. Sigahi & Izabela Simon Rampasso & Gustavo Hermínio Salati Marcondes de Moraes & Walter Leal Filho & João Henrique Paulino Pires Eustachio & Rosley Anholon - 1-23 A Markov Switching Autoregressive Model with Time-Varying Parameters
by Syarifah Inayati & Nur Iriawan & Irhamah - 1-25 Impact of PV and EV Forecasting in the Operation of a Microgrid
by Giampaolo Manzolini & Andrea Fusco & Domenico Gioffrè & Silvana Matrone & Riccardo Ramaschi & Marios Saleptsis & Riccardo Simonetti & Filip Sobic & Michael James Wood & Emanuele Ogliari & Sonia Leva - 1-31 Systematic Mapping Study of Sales Forecasting: Methods, Trends, and Future Directions
by Hamid Ahaggach & Lylia Abrouk & Eric Lebon
September 2024, Volume 6, Issue 3
- 1-21 A Data-Driven Multi-Step Flood Inundation Forecast System
by Felix Schmid & Jorge Leandro - 1-21 Predicting Power Consumption Using Deep Learning with Stationary Wavelet
by Majdi Frikha & Khaled Taouil & Ahmed Fakhfakh & Faouzi Derbel - 1-24 An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions
by Kameron B. Kinast & Ernest Fokoué - 1-25 Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations
by Eduardo Luiz Alba & Gilson Adamczuk Oliveira & Matheus Henrique Dal Molin Ribeiro & Érick Oliveira Rodrigues - 1-33 Forecasting the CBOE VIX and SKEW Indices Using Heterogeneous Autoregressive Models
by Massimo Guidolin & Giulia F. Panzeri
August 2024, Volume 6, Issue 3
- 1-13 Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models
by Geun-Cheol Lee & June-Young Bang - 1-18 Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models
by Carlo Grillenzoni - 1-21 Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports
by Unyamanee Kummaraka & Patchanok Srisuradetchai - 1-28 Evaluating Wind Speed Forecasting Models: A Comparative Study of CNN, DAN2, Random Forest and XGBOOST in Diverse South African Weather Conditions
by Fhulufhelo Walter Mugware & Caston Sigauke & Thakhani Ravele - 1-30 Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task
by Philipp Schlieper & Mischa Dombrowski & An Nguyen & Dario Zanca & Bjoern Eskofier - 1-35 Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
by David L. John & Sebastian Binnewies & Bela Stantic
May 2024, Volume 6, Issue 2
- 1-14 Forecasting and Anomaly Detection in BEWS: Comparative Study of Theta, Croston, and Prophet Algorithms
by Aleksandr N. Grekov & Elena V. Vyshkvarkova & Aleksandr S. Mavrin - 1-14 Deep Survival Models Can Improve Long-Term Mortality Risk Estimates from Chest Radiographs
by Mingzhu Liu & Chirag Nagpal & Artur Dubrawski - 1-17 Forecasting Convective Storms Trajectory and Intensity by Neural Networks
by Niccolò Borghi & Giorgio Guariso & Matteo Sangiorgio - 1-21 Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model
by Abubaker Younis & Fatima Belabbes & Petru Adrian Cotfas & Daniel Tudor Cotfas - 1-26 Forecasting Daily Activity Plans of a Synthetic Population in an Upcoming District
by Rachid Belaroussi & Younes Delhoum
June 2024, Volume 6, Issue 2
- 1-6 An Alternative Proof of Minimum Trace Reconciliation
by Sakai Ando & Futoshi Narita - 1-16 Heavy Rainfall Events in Selected Geographic Regions of Mexico, Associated with Hail Cannons
by Victor M. Rodríguez-Moreno & Juan Estrada-Ávalos - 1-22 Machine Learning-Enhanced Pairs Trading
by Eli Hadad & Sohail Hodarkar & Beakal Lemeneh & Dennis Shasha - 1-23 Forecasting Thailand’s Transportation CO 2 Emissions: A Comparison among Artificial Intelligent Models
by Thananya Janhuaton & Vatanavongs Ratanavaraha & Sajjakaj Jomnonkwao
April 2024, Volume 6, Issue 2
- 1-13 Riding into Danger: Predictive Modeling for ATV-Related Injuries and Seasonal Patterns
by Fernando Ferreira Lima dos Santos & Farzaneh Khorsandi & Guilherme De Moura Araujo - 1-17 Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization
by Amina Ladhari & Heni Boubaker - 1-30 The Technological Impact on Employment in Spain between 2023 and 2035
by Oussama Chemlal & Wafaa Benomar
March 2024, Volume 6, Issue 2
- 1-27 Predictive Maintenance Framework for Fault Detection in Remote Terminal Units
by Alexios Lekidis & Angelos Georgakis & Christos Dalamagkas & Elpiniki I. Papageorgiou
January 2024, Volume 6, Issue 1
- 1-15 Data-Driven Models to Forecast the Impact of Temperature Anomalies on Rice Production in Southeast Asia
by Sabrina De Nardi & Claudio Carnevale & Sara Raccagni & Lucia Sangiorgi - 1-19 Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach
by C. Tamilselvi & Md Yeasin & Ranjit Kumar Paul & Amrit Kumar Paul - 1-26 Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning
by Aymane Ahajjam & Jaakko Putkonen & Emmanuel Chukwuemeka & Robert Chance & Timothy J. Pasch
March 2024, Volume 6, Issue 1
- 1-15 Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints
by Lucas Lopes Oliveira & Xiaorui Jiang & Aryalakshmi Nellippillipathil Babu & Poonam Karajagi & Alireza Daneshkhah - 1-17 A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event
by Costas Varotsos & Nicholas V. Sarlis & Yuri Mazei & Damir Saldaev & Maria Efstathiou - 1-20 Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System
by Devon Barrow & Antonija Mitrovic & Jay Holland & Mohammad Ali & Nikolaos Kourentzes
February 2024, Volume 6, Issue 1
- 1-14 Bootstrapping Long-Run Covariance of Stationary Functional Time Series
by Han Lin Shang - 1-17 Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
by Konstantinos P. Fourkiotis & Athanasios Tsadiras - 1-18 State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export
by Yoga Sasmita & Heri Kuswanto & Dedy Dwi Prastyo - 1-23 Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study
by Manuel Zamudio López & Hamidreza Zareipour & Mike Quashie
December 2023, Volume 6, Issue 1
- 1-17 Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach
by Teerachai Amnuaylojaroen - 1-18 Improvement on Forecasting of Propagation of the COVID-19 Pandemic through Combining Oscillations in ARIMA Models
by Eunju Hwang - 1-19 Bootstrapping State-Space Models: Distribution-Free Estimation in View of Prediction and Forecasting
by José Francisco Lima & Fernanda Catarina Pereira & Arminda Manuela Gonçalves & Marco Costa
October 2023, Volume 5, Issue 4
- 1-16 An Extended Analysis of Temperature Prediction in Italy: From Sub-Seasonal to Seasonal Timescales
by Giuseppe Giunta & Alessandro Ceppi & Raffaele Salerno
December 2023, Volume 5, Issue 4
- 1-13 Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess
by Amirhossein Sohrabbeig & Omid Ardakanian & Petr Musilek
November 2023, Volume 5, Issue 4
- 1-13 Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction
by Vienna N. Katambire & Richard Musabe & Alfred Uwitonze & Didacienne Mukanyiligira - 1-23 Exploring the Role of Online Courses in COVID-19 Crisis Management in the Supply Chain Sector—Forecasting Using Fuzzy Cognitive Map (FCM) Models
by Dimitrios K. Nasiopoulos & Dimitrios A. Arvanitidis & Dimitrios M. Mastrakoulis & Nikos Kanellos & Thomas Fotiadis & Dimitrios E. Koulouriotis - 1-32 Macroeconomic Predictions Using Payments Data and Machine Learning
by James T. E. Chapman & Ajit Desai
July 2023, Volume 5, Issue 3
- 1-23 A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes
by Daniel Manfre Jaimes & Manuel Zamudio López & Hamidreza Zareipour & Mike Quashie
August 2023, Volume 5, Issue 3
- 1-14 Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation
by Gayan Dharmarathne & Gabriela F. Nane & Andrew Robinson & Anca M. Hanea - 1-14 Large Language Models: Their Success and Impact
by Spyros Makridakis & Fotios Petropoulos & Yanfei Kang
September 2023, Volume 5, Issue 3
- 1-24 Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview
by Panagiotis Eleftheriadis & Spyridon Giazitzis & Sonia Leva & Emanuele Ogliari - 1-26 Searching for Promisingly Trained Artificial Neural Networks
by Juan M. Lujano-Rojas & Rodolfo Dufo-López & Jesús Sergio Artal-Sevil & Eduardo García-Paricio
May 2023, Volume 5, Issue 2
- 1-10 Solving Linear Integer Models with Variable Bounding
by Elias Munapo & Joshua Chukwuere & Trust Tawanda - 1-19 Distribution Prediction of Decomposed Relative EVA Measure with Levy-Driven Mean-Reversion Processes: The Case of an Automotive Sector of a Small Open Economy
by Zdeněk Zmeškal & Dana Dluhošová & Karolina Lisztwanová & Antonín Pončík & Iveta Ratmanová
June 2023, Volume 5, Issue 2
- 1-12 On the Disagreement of Forecasting Model Selection Criteria
by Evangelos Spiliotis & Fotios Petropoulos & Vassilios Assimakopoulos - 1-15 Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins
by Apostolos Ampountolas
April 2023, Volume 5, Issue 2
- 1-15 Short-Term Probabilistic Load Forecasting in University Buildings by Means of Artificial Neural Networks
by Carla Sahori Seefoo Jarquin & Alessandro Gandelli & Francesco Grimaccia & Marco Mussetta - 1-19 Projected Future Flooding Pattern of Wabash River in Indiana and Fountain Creek in Colorado: An Assessment Utilizing Bias-Corrected CMIP6 Climate Data
by Swarupa Paudel & Neekita Joshi & Ajay Kalra - 1-19 Automation in Regional Economic Synthetic Index Construction with Uncertainty Measurement
by Priscila Espinosa & Jose M. Pavía
March 2023, Volume 5, Issue 2
- 1-16 Predicting the Oil Price Movement in Commodity Markets in Global Economic Meltdowns
by Jakub Horák & Michaela Jannová
January 2023, Volume 5, Issue 1
- 1-2 Acknowledgment to the Reviewers of Forecasting in 2022
by Forecasting Editorial Office - 1-11 Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States
by Bowen Long & Fangya Tan & Mark Newman - 1-14 On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles
by Kate Murray & Andrea Rossi & Diego Carraro & Andrea Visentin - 1-15 Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India
by Ansari Saleh Ahmar & Pawan Kumar Singh & R. Ruliana & Alok Kumar Pandey & Stuti Gupta - 1-17 Coffee as an Identifier of Inflation in Selected US Agglomerations
by Marek Vochozka & Svatopluk Janek & Zuzana Rowland - 1-24 Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study
by Brahim Belmahdi & Mohamed Louzazni & Mousa Marzband & Abdelmajid El Bouardi