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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 - 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
March 2023, Volume 5, Issue 1
- 1-15 Methodology for Optimizing Factors Affecting Road Accidents in Poland
by Piotr Gorzelanczyk & Henryk Tylicki - 1-18 Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies
by Michael Wood & Emanuele Ogliari & Alfredo Nespoli & Travis Simpkins & Sonia Leva - 1-21 Time Series Dataset Survey for Forecasting with Deep Learning
by Yannik Hahn & Tristan Langer & Richard Meyes & Tobias Meisen - 1-23 Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil
by Florin Aliu & Jiří Kučera & Simona Hašková
February 2023, Volume 5, Issue 1
- 1-3 Editorial for Special Issue: “Tourism Forecasting: Time-Series Analysis of World and Regional Data”
by João Paulo Teixeira & Ulrich Gunter - 1-12 Assessing Spurious Correlations in Big Search Data
by Jesse T. Richman & Ryan J. Roberts - 1-16 A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks
by Seyed Mahdi Miraftabzadeh & Cristian Giovanni Colombo & Michela Longo & Federica Foiadelli - 1-27 Intervention Time Series Analysis and Forecasting of Organ Donor Transplants in the US during the COVID-19 Era
by Supraja Malladi & Qiqi Lu - 1-29 Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production
by Ashish Sedai & Rabin Dhakal & Shishir Gautam & Anibesh Dhamala & Argenis Bilbao & Qin Wang & Adam Wigington & Suhas Pol
December 2022, Volume 5, Issue 1
- 1-21 Extracting Statistical Properties of Solar and Photovoltaic Power Production for the Scope of Building a Sophisticated Forecasting Framework
by Joseph Ndong & Ted Soubdhan - 1-21 Machine Learning Models and Intra-Daily Market Information for the Prediction of Italian Electricity Prices
by Silvia Golia & Luigi Grossi & Matteo Pelagatti - 1-25 Spatial Dependence of Average Prices for Product Categories and Its Change over Time: Evidence from Daily Data
by Venera Timiryanova & Irina Lakman & Vadim Prudnikov & Dina Krasnoselskaya - 1-59 Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications
by Rejaul Islam & S M Sajjad Hossain Rafin & Osama A. Mohammed
October 2022, Volume 4, Issue 4
- 1-16 Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models
by Agnieszka Kleszcz & Krzysztof Rusek - 1-21 Coupling a Neural Network with a Spatial Downscaling Procedure to Improve Probabilistic Nowcast for Urban Rain Radars
by Marino Marrocu & Luca Massidda - 1-22 Precision and Reliability of Forecasts Performance Metrics
by Philippe St-Aubin & Bruno Agard
December 2022, Volume 4, Issue 4
- 1-29 Ecological Forecasting and Operational Information Systems Support Sustainable Ocean Management
by 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 & Mathieu Mongin
September 2022, Volume 4, Issue 4
- 1-11 Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints
by Akshansh Mishra & Anish Dasgupta - 1-15 Forecasting Bitcoin Spikes: A GARCH-SVM Approach
by Theophilos Papadimitriou & Periklis Gogas & Athanasios Fotios Athanasiou - 1-20 Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)
by Yili Chen & Congdong Li & Han Wang - 1-21 Evaluating the Comparative Accuracy of COVID-19 Mortality Forecasts: An Analysis of the First-Wave Mortality Forecasts in the United States
by Rahul Pathak & Daniel Williams - 1-26 Sex Differential Dynamics in Coherent Mortality Models
by Snorre Jallbjørn & Søren Fiig Jarner
November 2022, Volume 4, Issue 4
- 1-11 Predicting Credit Scores with Boosted Decision Trees
by João A. Bastos - 1-13 Predictive Data Analytics for Electricity Fraud Detection Using Tuned CNN Ensembler in Smart Grid
by Nasir Ayub & Usman Ali & Kainat Mustafa & Syed Muhammad Mohsin & Sheraz Aslam - 1-13 Modeling and Forecasting Somali Economic Growth Using ARIMA Models
by Abas Omar Mohamed - 1-15 A Coordinated Analysis of Physical Reactivity to Daily Stressors: Age and Proactive Coping Matter
by Shevaun D. Neupert & Emily L. Smith & Margaret L. Schriefer - 1-19 The Contribution of Digital Technology to the Forecasting of Supply Chain Development, in IT Products, Modeling and Simulation of the Problem
by Dimitrios K. Nasiopoulos & Dimitrios M. Mastrakoulis & Dimitrios A. Arvanitidis - 1-20 Systematic Assessment of the Effects of Space Averaging and Time Averaging on Weather Forecast Skill
by Ying Li & Samuel N. Stechmann - 1-21 Forecasting Daily and Weekly Passenger Demand for Urban Rail Transit Stations Based on a Time Series Model Approach
by Dung David Chuwang & Weiya Chen - 1-35 The Lasso and the Factor Zoo-Predicting Expected Returns in the Cross-Section
by Marcial Messmer & Francesco Audrino
August 2022, Volume 4, Issue 3
- 1-15 Nowcasting GDP: An Application to Portugal
by João B. Assunção & Pedro Afonso Fernandes - 1-18 Can Groups Improve Expert Economic and Financial Forecasts?
by Warwick Smith & Anca M. Hanea & Mark A. Burgman - 1-20 Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion
by Pieter Cawood & Terence Van Zyl
July 2022, Volume 4, Issue 3
- 1-11 The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai
by Ahmed Shoukry Rashad - 1-14 Examining Factors That Affect Movie Gross Using Gaussian Copula Marginal Regression
by Joshua Eklund & Jong-Min Kim - 1-20 Influence of Car Configurator Webpage Data from Automotive Manufacturers on Car Sales by Means of Correlation and Forecasting
by Juan Manuel García Sánchez & Xavier Vilasís Cardona & Alexandre Lerma Martín - 1-20 Modelling Financial Markets during Times of Extreme Volatility: Evidence from the GameStop Short Squeeze
by Boris Andreev & Georgios Sermpinis & Charalampos Stasinakis
June 2022, Volume 4, Issue 3
- 1-22 Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling
by Abhiru Aryal & Albira Acharya & Ajay Kalra - 1-30 Integrating Ecological Forecasting into Undergraduate Ecology Curricula with an R Shiny Application-Based Teaching Module
by Tadhg N. Moore & R. Quinn Thomas & Whitney M. Woelmer & Cayelan C. Carey
March 2022, Volume 4, Issue 2
- 1-11 A Monte Carlo Approach to Bitcoin Price Prediction with Fractional Ornstein–Uhlenbeck Lévy Process
by Jules Clément Mba & Sutene Mwambetania Mwambi & Edson Pindza
June 2022, Volume 4, Issue 2
- 1-13 Estimating Path Choice Models through Floating Car Data
by Antonio Comi & Antonio Polimeni - 1-17 Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry
by Chandadevi Giri & Yan Chen - 1-27 Analyzing and Forecasting Multi-Commodity Prices Using Variants of Mode Decomposition-Based Extreme Learning Machine Hybridization Approach
by Emmanuel Senyo Fianu
May 2022, Volume 4, Issue 2
- 1-24 Monitoring and Forecasting of Key Functions and Technologies for Automated Driving
by Christian Ulrich & Benjamin Frieske & Stephan A. Schmid & Horst E. Friedrich - 1-24 Advances in Time Series Forecasting Development for Power Systems’ Operation with MLOps
by Gonca Gürses-Tran & Antonello Monti
April 2022, Volume 4, Issue 2
- 1-18 Forecasting Regional Tourism Demand in Morocco from Traditional and AI-Based Methods to Ensemble Modeling
by El houssin Ouassou & Hafsa Taya - 1-18 Modelling Energy Transition in Germany: An Analysis through Ordinary Differential Equations and System Dynamics
by Andrea Savio & Luigi De Giovanni & Mariangela Guidolin - 1-21 Diffusion of Solar PV Energy in the UK: A Comparison of Sectoral Patterns
by Anita M. Bunea & Mariangela Guidolin & Piero Manfredi & Pompeo Della Posta
January 2022, Volume 4, Issue 1
- 1-2 Acknowledgment to the Reviewers of Forecasting in 2021
by Forecasting Editorial Office - 1-16 Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks
by Venkataramana Veeramsetty & Dongari Rakesh Chandra & Francesco Grimaccia & Marco Mussetta - 1-17 Trend Lines and Japanese Candlesticks Applied to the Forecasting of Wind Speed Data Series
by Manfredo Guilizzoni & Paloma Maldonado Eizaguirre - 1-23 SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
by Roberto Vega & Leonardo Flores & Russell Greiner - 1-23 Hybrid Surrogate Model for Timely Prediction of Flash Flood Inundation Maps Caused by Rapid River Overflow
by Andre D. L. Zanchetta & Paulin Coulibaly - 1-24 A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance
by Yixuan Li & Charalampos Stasinakis & Wee Meng Yeo - 1-31 Analysing Historical and Modelling Future Soil Temperature at Kuujjuaq, Quebec (Canada): Implications on Aviation Infrastructure
by Andrew C. W. Leung & William A. Gough & Tanzina Mohsin
March 2022, Volume 4, Issue 1
- 1-3 Editorial for Special Issue: “Feature Papers of Forecasting 2021”
by Sonia Leva - 1-11 Irradiance Nowcasting by Means of Deep-Learning Analysis of Infrared Images
by Alessandro Niccolai & Seyedamir Orooji & Andrea Matteri & Emanuele Ogliari & Sonia Leva - 1-15 Machine-Learning-Based Functional Time Series Forecasting: Application to Age-Specific Mortality Rates
by Ufuk Beyaztas & Hanlin Shang - 1-22 Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia
by Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou - 1-23 Prevalence and Economic Costs of Absenteeism in an Aging Population—A Quasi-Stochastic Projection for Germany
by Patrizio Vanella & Christina Benita Wilke & Doris Söhnlein
February 2022, Volume 4, Issue 1
- 1-11 Projecting Mortality Rates to Extreme Old Age with the CBDX Model
by Kevin Dowd & David Blake - 1-13 Explainable Ensemble Machine Learning for Breast Cancer Diagnosis Based on Ultrasound Image Texture Features
by Alireza Rezazadeh & Yasamin Jafarian & Ali Kord - 1-19 Side-Length-Independent Motif ( SLIM ): Motif Discovery and Volatility Analysis in Time Series— SAX , MDL and the Matrix Profile
by Eoin Cartwright & Martin Crane & Heather J. Ruskin - 1-24 High-Resolution Gridded Air Temperature Data for the Urban Environment: The Milan Data Set
by Giuseppe Frustaci & Samantha Pilati & Cristina Lavecchia & Enea Marco Montoli - 1-28 Do Risky Scenarios Affect Forecasts of Savings and Expenses?
by Shari De Baets & Dilek Önkal & Wasim Ahmed - 1-32 Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns
by Massimo Guidolin & Manuela Pedio
December 2021, Volume 4, Issue 1
- 1-10 Prediction of Autonomy Loss in Alzheimer’s Disease
by Anne-Sophie Nicolas & Michel Ducher & Laurent Bourguignon & Virginie Dauphinot & Pierre Krolak-Salmon - 1-15 Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks
by Le Quyen Nguyen & Paula Odete Fernandes & João Paulo Teixeira - 1-21 Event-Based Evaluation of Electricity Price Ensemble Forecasts
by Arne Vogler & Florian Ziel - 1-25 A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
by Thabang Mathonsi & Terence L. van Zyl
November 2021, Volume 3, Issue 4
- 1-2 Forecasting with Machine Learning Techniques
by Walayat Hussain & Asma Musabah Alkalbani & Honghao Gao - 1-11 Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm
by Eren Bas & Erol Egrioglu & Ufuk Yolcu - 1-14 COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism
by Maksim Godovykh & Jorge Ridderstaat & Carissa Baker & Alan Fyall - 1-18 Landslide Forecast by Time Series Modeling and Analysis of High-Dimensional and Non-Stationary Ground Motion Data
by Guoqi Qian & Antoinette Tordesillas & Hangfei Zheng - 1-35 Different Forecasting Horizons Based Performance Analysis of Electricity Load Forecasting Using Multilayer Perceptron Neural Network
by Manogaran Madhiarasan & Mohamed Louzazni - 1-36 Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests
by Ulrich Gunter
October 2021, Volume 3, Issue 4
- 1-11 Assessing Goodness of Fit for Verifying Probabilistic Forecasts
by Tae-Ho Kang & Ashish Sharma & Lucy Marshall - 1-12 Bayesian Forecasting of Dynamic Extreme Quantiles
by Douglas E. Johnston - 1-13 On the Autoregressive Time Series Model Using Real and Complex Analysis
by Torsten Ullrich - 1-22 Examining Deep Learning Architectures for Crime Classification and Prediction
by Panagiotis Stalidis & Theodoros Semertzidis & Petros Daras - 1-30 Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg
by Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii
December 2021, Volume 3, Issue 4
- 1-14 Model-Free Time-Aggregated Predictions for Econometric Datasets
by Kejin Wu & Sayar Karmakar - 1-20 A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico
by Ali Muhamed Ali & Hanqi Zhuang & James VanZwieten & Ali K. Ibrahim & Laurent Chérubin
September 2021, Volume 3, Issue 4
- 1-13 A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning
by Aida Boudhaouia & Patrice Wira - 1-19 Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods
by Alfredo Nespoli & Andrea Matteri & Silvia Pretto & Luca De Ciechi & Emanuele Ogliari - 1-21 Deterministic-Probabilistic Approach to Predict Lightning-Caused Forest Fires in Mounting Areas
by Nikolay Baranovskiy
July 2021, Volume 3, Issue 3
- 1-3 Editorial for Special Issue “New Frontiers in Forecasting the Business Cycle and Financial Markets”
by Alessia Paccagnini - 1-3 Advances in Hydrological Forecasting
by Minxue He & Haksu Lee - 1-16 The Effect of Lead-Time Weather Forecast Uncertainty on Outage Prediction Modeling
by Feifei Yang & Diego Cerrai & Emmanouil N. Anagnostou - 1-21 Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images
by Hanan Butt & Muhammad Raheel Raza & Muhammad Javed Ramzan & Muhammad Junaid Ali & Muhammad Haris
June 2021, Volume 3, Issue 3
- 1-18 Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine
by Sajjad Khan & Shahzad Aslam & Iqra Mustafa & Sheraz Aslam - 1-20 The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting
by Fotios Petropoulos & Evangelos Spiliotis
September 2021, Volume 3, Issue 3
- 1-11 A Brief Taxonomy of Hybrid Intelligence
by Niccolo Pescetelli - 1-19 Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
by Lorenzo Menculini & Andrea Marini & Massimiliano Proietti & Alberto Garinei & Alessio Bozza & Cecilia Moretti & Marcello Marconi
August 2021, Volume 3, Issue 3
- 1-9 Gutenberg–Richter B-Value Time Series Forecasting: A Weighted Likelihood Approach
by Matteo Taroni & Giorgio Vocalelli & Andrea De Polis - 1-10 Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model
by Justin L. Wang & Hanqi Zhuang & Laurent Chérubin & Ali Muhamed Ali & Ali Ibrahim - 1-16 Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models
by Apostolos Ampountolas - 1-20 Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System
by Peter L. Watson & Marika Koukoula & Emmanouil Anagnostou - 1-37 Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain
by Stephen Haben & Julien Caudron & Jake Verma
April 2021, Volume 3, Issue 2
- 1-9 Tobacco Endgame Simulation Modelling: Assessing the Impact of Policy Changes on Smoking Prevalence in 2035
by Michael Chaiton & Jolene Dubray & G. Emmanuel Guindon & Robert Schwartz - 1-11 A Stochastic Estimation Framework for Yearly Evolution of Worldwide Electricity Consumption
by Qasem Abu Al-Haija - 1-13 Building Heat Demand Forecasting by Training a Common Machine Learning Model with Physics-Based Simulator
by Lotta Kannari & Jussi Kiljander & Kalevi Piira & Jouko Piippo & Pekka Koponen - 1-14 Visual Analytics for Climate Change Detection in Meteorological Time-Series
by Milena Vuckovic & Johanna Schmidt - 1-19 Fighting Deepfakes Using Body Language Analysis
by Robail Yasrab & Wanqi Jiang & Adnan Riaz
June 2021, Volume 3, Issue 2
- 1-10 Pre-Operational Application of a WRF-Hydro-Based Fluvial Flood Forecasting System in the Southeast Mediterranean
by Christos Giannaros & Elissavet Galanaki & Vassiliki Kotroni & Konstantinos Lagouvardos & Christina Oikonomou & Haris Haralambous & Theodore M. Giannaros - 1-13 Forecasting Commodity Prices: Looking for a Benchmark
by Marek Kwas & Michał Rubaszek
May 2021, Volume 3, Issue 2
- 1-16 A Time-Varying Gerber Statistic: Application of a Novel Correlation Metric to Commodity Price Co-Movements
by Bernardina Algieri & Arturo Leccadito & Pietro Toscano - 1-16 The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model
by Knut Lehre Seip & Dan Zhang - 1-17 Queue Length Forecasting in Complex Manufacturing Job Shops
by Marvin Carl May & Alexander Albers & Marc David Fischer & Florian Mayerhofer & Louis Schäfer & Gisela Lanza - 1-22 A New Machine Learning Forecasting Algorithm Based on Bivariate Copula Functions
by J. A. Carrillo & M. Nieto & J. F. Velez & D. Velez - 1-44 Is It Possible to Forecast the Price of Bitcoin?
by Julien Chevallier & Dominique Guégan & Stéphane Goutte
January 2021, Volume 3, Issue 1
- 1-2 Acknowledgment to Reviewers of Forecasting in 2020
by Forecasting Editorial Office - 1-20 Forecasting the Preparatory Phase of Induced Earthquakes by Recurrent Neural Network
by Matteo Picozzi & Antonio Giovanni Iaccarino
March 2021, Volume 3, Issue 1
- 1-14 A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services
by Pavlos Nikolaidis & Harris Partaourides - 1-14 Load Forecasting in an Office Building with Different Data Structure and Learning Parameters
by Daniel Ramos & Mahsa Khorram & Pedro Faria & Zita Vale - 1-15 Dynamic Pricing Recognition on E-Commerce Platforms with VAR Processes
by Alexander Faehnle & Mariangela Guidolin - 1-21 Robust Non-Parametric Mortality and Fertility Modelling and Forecasting: Gaussian Process Regression Approaches
by Ka Kin Lam & Bo Wang - 1-26 Trends in Using IoT with Machine Learning in Health Prediction System
by Amani Aldahiri & Bashair Alrashed & Walayat Hussain