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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
February 2021, Volume 3, Issue 1
- 1-3 Editorial for Special Issue: “Feature Papers of Forecasting”
by Sonia Leva - 1-11 Electrical Load Forecast by Means of LSTM: The Impact of Data Quality
by Alfredo Nespoli & Emanuele Ogliari & Silvia Pretto & Michele Gavazzeni & Sonia Vigani & Franco Paccanelli - 1-11 Construction of a Predictive Model for MLB Matches
by Chia-Hao Chang - 1-17 Modeling of Lake Malombe Annual Fish Landings and Catch per Unit Effort (CPUE)
by Rodgers Makwinja & Seyoum Mengistou & Emmanuel Kaunda & Tena Alemiew & Titus Bandulo Phiri & Ishmael Bobby Mphangwe Kosamu & Chikumbusko Chiziwa Kaonga - 1-22 Forecasting with Business and Consumer Survey Data
by Oscar Claveria - 1-28 Forecasting Principles from Experience with Forecasting Competitions
by Jennifer L. Castle & Jurgen A. Doornik & David F. Hendry - 1-35 Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data
by Monica Defend & Aleksey Min & Lorenzo Portelli & Franz Ramsauer & Francesco Sandrini & Rudi Zagst
December 2020, Volume 3, Issue 1
- 1-16 Modeling Post-Liberalized European Gas Market Concentration—A Game Theory Perspective
by Hassan Hamie & Anis Hoayek & Hans Auer
December 2020, Volume 2, Issue 4
- 1-17 Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems
by Marcel Ausloos - 1-21 Bankruptcy Prediction: The Case of the Greek Market
by Angeliki Papana & Anastasia Spyridou - 1-23 Mean Field Bias-Aware State Updating via Variational Assimilation of Streamflow into Distributed Hydrologic Models
by Haksu Lee & Haojing Shen & Dong-Jun Seo
October 2020, Volume 2, Issue 4
- 1-18 Application of a Semi-Empirical Dynamic Model to Forecast the Propagation of the COVID-19 Epidemics in Spain
by Juan Carlos Mora & Sandra Pérez & Alla Dvorzhak - 1-19 A Hybrid Method for the Run-Of-The-River Hydroelectric Power Plant Energy Forecast: HYPE Hydrological Model and Neural Network
by Emanuele Ogliari & Alfredo Nespoli & Marco Mussetta & Silvia Pretto & Andrea Zimbardo & Nicholas Bonfanti & Manuele Aufiero - 1-23 Cost Estimating Using a New Learning Curve Theory for Non-Constant Production Rates
by Dakotah Hogan & John Elshaw & Clay Koschnick & Jonathan Ritschel & Adedeji Badiru & Shawn Valentine
September 2020, Volume 2, Issue 4
- 1-23 Are Issuer Margins Fairly Stated? Evidence from the Issuer Estimated Value for Retail Structured Products
by Janis Bauer & Holger Fink & Eva Stoller
November 2020, Volume 2, Issue 4
- 1-17 Sun Position Identification in Sky Images for Nowcasting Application
by Alessandro Niccolai & Alfredo Nespoli - 1-18 Photovoltaic Output Power Estimation and Baseline Prediction Approach for a Residential Distribution Network with Behind-the-Meter Systems
by Keda Pan & Changhong Xie & Chun Sing Lai & Dongxiao Wang & Loi Lei Lai
September 2020, Volume 2, Issue 3
- 1-18 An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases
by Patrizio Vanella & Philipp Deschermeier & Christina B. Wilke - 1-23 Time Series Analysis of Forest Dynamics at the Ecoregion Level
by Olga Rumyantseva & Andrey Sarantsev & Nikolay Strigul
July 2020, Volume 2, Issue 3
- 1-18 Benchmarking Real-Time Streamflow Forecast Skill in the Himalayan Region
by Ganesh R. Ghimire & Sanjib Sharma & Jeeban Panthi & Rocky Talchabhadel & Binod Parajuli & Piyush Dahal & Rupesh Baniya - 1-19 Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin
by Md Abul Ehsan Bhuiyan & Feifei Yang & Nishan Kumar Biswas & Saiful Haque Rahat & Tahneen Jahan Neelam
August 2020, Volume 2, Issue 3
- 1-14 Bus Travel Time: Experimental Evidence and Forecasting
by Antonio Comi & Antonio Polimeni - 1-17 A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine-Learning Approach
by Alireza Rezazadeh - 1-23 Forecasting of Future Flooding and Risk Assessment under CMIP6 Climate Projection in Neuse River, North Carolina
by Indira Pokhrel & Ajay Kalra & Md Mafuzur Rahaman & Ranjeet Thakali - 1-25 Forecasting Social Conflicts in Africa Using an Epidemic Type Aftershock Sequence Model
by Gilian van den Hengel & Philip Hans Franses
June 2020, Volume 2, Issue 3
- 1-19 Are Combined Tourism Forecasts Better at Minimizing Forecasting Errors?
by Ulrich Gunter & Irem Önder & Egon Smeral
June 2020, Volume 2, Issue 2
- 1-14 Corporate Foresight and Dynamic Capabilities: An Exploratory Study
by Lisa-Marie Semke & Victor Tiberius - 1-17 Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Nowcast Precipitation from Radar Images
by Marino Marrocu & Luca Massidda
May 2020, Volume 2, Issue 2
- 1-12 Dynamic Modeling of Power Outages Caused by Thunderstorms
by Berk A. Alpay & David Wanik & Peter Watson & Diego Cerrai & Guannan Liang & Emmanouil Anagnostou - 1-17 Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique
by Ismail Shah & Hasnain Iftikhar & Sajid Ali - 1-21 Assessment of Direct Normal Irradiance Forecasts Based on IFS/ECMWF Data and Observations in the South of Portugal
by João Perdigão & Paulo Canhoto & Rui Salgado & Maria João Costa - 1-28 Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis
by Stelios Bekiros & Christos Avdoulas
April 2020, Volume 2, Issue 2
- 1-17 Goes-13 IR Images for Rainfall Forecasting in Hurricane Storms
by Marilu Meza-Ruiz & Alfonso Gutierrez-Lopez - 1-26 Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India
by Alen Shrestha & Md Mafuzur Rahaman & Ajay Kalra & Rohit Jogineedi & Pankaj Maheshwari
March 2020, Volume 2, Issue 2
- 1-23 A Comparison of the Qualitative Analytic Hierarchy Process and the Quantitative Frequency Ratio Techniques in Predicting Forest Fire-Prone Areas in Bhutan Using GIS
by Kinley Tshering & Phuntsho Thinley & Mahyat Shafapour Tehrany & Ugyen Thinley & Farzin Shabani
February 2020, Volume 2, Issue 1
- 1-16 X-Model: Further Development and Possible Modifications
by Sergei Kulakov
January 2020, Volume 2, Issue 1
October 2019, Volume 1, Issue 1
- 1-16 Automatic Grouping in Singular Spectrum Analysis
by Mahdi Kalantari & Hossein Hassani - 1-20 Quantile Regression and Clustering Models of Prediction Intervals for Weather Forecasts: A Comparative Study
by Ashkan Zarnani & Soheila Karimi & Petr Musilek
July 2018, Volume 1, Issue 1
- 1-21 A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets
by Radhakrishnan Angamuthu Chinnathambi & Anupam Mukherjee & Mitch Campion & Hossein Salehfar & Timothy M. Hansen & Jeremy Lin & Prakash Ranganathan
March 2018, Volume 1, Issue 1
October 2018, Volume 1, Issue 1
- 1-12 Oil Market Efficiency under a Machine Learning Perspective
by Athanasia Dimitriadou & Periklis Gogas & Theophilos Papadimitriou & Vasilios Plakandaras
August 2018, Volume 1, Issue 1
- 1-12 Intracranial Pressure Forecasting in Children Using Dynamic Averaging of Time Series Data
by Akram Farhadi & Joshua J. Chern & Daniel Hirsh & Tod Davis & Mingyoung Jo & Frederick Maier & Khaled Rasheed
May 2018, Volume 1, Issue 1
September 2018, Volume 1, Issue 1
- 1-11 Improved Brain Tumor Segmentation via Registration-Based Brain Extraction
by Maxwell Uhlich & Russell Greiner & Bret Hoehn & Melissa Woghiren & Idanis Diaz & Tatiana Ivanova & Albert Murtha - 1-14 Fast Univariate Time Series Prediction of Solar Power for Real-Time Control of Energy Storage System
by Mostafa Majidpour & Hamidreza Nazaripouya & Peter Chu & Hemanshu R. Pota & Rajit Gadh - 1-14 ARIMA Time Series Models for Full Truckload Transportation Prices
by Jason W. Miller - 1-17 Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming
by Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez - 1-20 Forecasting the Effects of In-Store Marketing on Conversion Rates for Online Shops
by Holger Fink & Yvonne Graf - 1-22 Fourier Analysis of Cerebral Metabolism of Glucose: Gender Differences in Mechanisms of Color Processing in the Ventral and Dorsal Streams in Mice
by Philip C. Njemanze & Mathias Kranz & Peter Brust