Forecasting

2018 - 2025

Current editor(s): Ms. Joss Chen

From MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 3, issue 4, 2021

A Deep Learning Model for Forecasting Velocity Structures of the Loop Current System in the Gulf of Mexico pp. 1-20

Ali Muhamed Ali, Hanqi Zhuang, James VanZwieten, Ali K. Ibrahim and Laurent Chérubin

Different Forecasting Horizons Based Performance Analysis of Electricity Load Forecasting Using Multilayer Perceptron Neural Network pp. 1-35

Manogaran Madhiarasan and Mohamed Louzazni

Assessing Goodness of Fit for Verifying Probabilistic Forecasts pp. 1-11

Tae-Ho Kang, Ashish Sharma and Lucy Marshall

Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm pp. 1-11

Eren Bas, Erol Egrioglu and Ufuk Yolcu

Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests pp. 1-36

Ulrich Gunter

Examining Deep Learning Architectures for Crime Classification and Prediction pp. 1-22

Panagiotis Stalidis, Theodoros Semertzidis and Petros Daras

COVID-19 and Tourism: Analyzing the Effects of COVID-19 Statistics and Media Coverage on Attitudes toward Tourism pp. 1-14

Maksim Godovykh, Jorge Ridderstaat, Carissa Baker and Alan Fyall

Model-Free Time-Aggregated Predictions for Econometric Datasets pp. 1-14

Kejin Wu and Sayar Karmakar

Bayesian Forecasting of Dynamic Extreme Quantiles pp. 1-12

Douglas E. Johnston

Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg pp. 1-30

Dean Fantazzini, Julia Pushchelenko, Alexey Mironenkov and Alexey Kurbatskii

A Real-Time Data Analysis Platform for Short-Term Water Consumption Forecasting with Machine Learning pp. 1-13

Aida Boudhaouia and Patrice Wira

On the Autoregressive Time Series Model Using Real and Complex Analysis pp. 1-13

Torsten Ullrich

Forecasting with Machine Learning Techniques pp. 1-2

Walayat Hussain, Asma Musabah Alkalbani and Honghao Gao

Landslide Forecast by Time Series Modeling and Analysis of High-Dimensional and Non-Stationary Ground Motion Data pp. 1-18

Guoqi Qian, Antoinette Tordesillas and Hangfei Zheng

Deterministic-Probabilistic Approach to Predict Lightning-Caused Forest Fires in Mounting Areas pp. 1-21

Nikolay Baranovskiy

Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods pp. 1-19

Alfredo Nespoli, Andrea Matteri, Silvia Pretto, Luca De Ciechi and Emanuele Ogliari

Volume 3, issue 3, 2021

Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images pp. 1-21

Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris

Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices pp. 1-19

Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi

Short-Term Electricity Price Forecasting by Employing Ensemble Empirical Mode Decomposition and Extreme Learning Machine pp. 1-18

Sajjad Khan, Shahzad Aslam, Iqra Mustafa and Sheraz Aslam

Loop Current SSH Forecasting: A New Domain Partitioning Approach for a Machine Learning Model pp. 1-10

Justin L. Wang, Hanqi Zhuang, Laurent Chérubin, Ali Muhamed Ali and Ali Ibrahim

Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain pp. 1-37

Stephen Haben, Julien Caudron and Jake Verma

The Effect of Lead-Time Weather Forecast Uncertainty on Outage Prediction Modeling pp. 1-16

Feifei Yang, Diego Cerrai and Emmanouil N. Anagnostou

Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models pp. 1-16

Apostolos Ampountolas

A Brief Taxonomy of Hybrid Intelligence pp. 1-11

Niccolo Pescetelli

Gutenberg–Richter B-Value Time Series Forecasting: A Weighted Likelihood Approach pp. 1-9

Matteo Taroni, Giorgio Vocalelli and Andrea De Polis

Editorial for Special Issue “New Frontiers in Forecasting the Business Cycle and Financial Markets” pp. 1-3

Alessia Paccagnini

Advances in Hydrological Forecasting pp. 1-3

Minxue He and Haksu Lee

The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting pp. 1-20

Fotios Petropoulos and Evangelos Spiliotis

Influence of the Characteristics of Weather Information in a Thunderstorm-Related Power Outage Prediction System pp. 1-20

Peter L. Watson, Marika Koukoula and Emmanouil Anagnostou

Volume 3, issue 2, 2021

Pre-Operational Application of a WRF-Hydro-Based Fluvial Flood Forecasting System in the Southeast Mediterranean pp. 1-10

Christos Giannaros, Elissavet Galanaki, Vassiliki Kotroni, Konstantinos Lagouvardos, Christina Oikonomou, Haris Haralambous and Theodore M. Giannaros

Is It Possible to Forecast the Price of Bitcoin? pp. 1-44

Julien Chevallier, Dominique Guégan and Stéphane Goutte

Fighting Deepfakes Using Body Language Analysis pp. 1-19

Robail Yasrab, Wanqi Jiang and Adnan Riaz

Building Heat Demand Forecasting by Training a Common Machine Learning Model with Physics-Based Simulator pp. 1-13

Lotta Kannari, Jussi Kiljander, Kalevi Piira, Jouko Piippo and Pekka Koponen

Forecasting Commodity Prices: Looking for a Benchmark pp. 1-13

Marek Kwas and Michał Rubaszek

A New Machine Learning Forecasting Algorithm Based on Bivariate Copula Functions pp. 1-22

J. A. Carrillo, M. Nieto, J. F. Velez and D. Velez

A Time-Varying Gerber Statistic: Application of a Novel Correlation Metric to Commodity Price Co-Movements pp. 1-16

Bernardina Algieri, Arturo Leccadito and Pietro Toscano

The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model pp. 1-16

Knut Lehre Seip and Dan Zhang

Visual Analytics for Climate Change Detection in Meteorological Time-Series pp. 1-14

Milena Vuckovic and Johanna Schmidt

A Stochastic Estimation Framework for Yearly Evolution of Worldwide Electricity Consumption pp. 1-11

Qasem Abu Al-Haija

Tobacco Endgame Simulation Modelling: Assessing the Impact of Policy Changes on Smoking Prevalence in 2035 pp. 1-9

Michael Chaiton, Jolene Dubray, G. Emmanuel Guindon and Robert Schwartz

Queue Length Forecasting in Complex Manufacturing Job Shops pp. 1-17

Marvin Carl May, Alexander Albers, Marc David Fischer, Florian Mayerhofer, Louis Schäfer and Gisela Lanza

Volume 3, issue 1, 2021

Robust Non-Parametric Mortality and Fertility Modelling and Forecasting: Gaussian Process Regression Approaches pp. 1-21

Ka Kin Lam and Bo Wang

Trends in Using IoT with Machine Learning in Health Prediction System pp. 1-26

Amani Aldahiri, Bashair Alrashed and Walayat Hussain

Acknowledgment to Reviewers of Forecasting in 2020 pp. 1-2

Forecasting Editorial Office

Modeling Post-Liberalized European Gas Market Concentration—A Game Theory Perspective pp. 1-16

Hassan Hamie, Anis Hoayek and Hans Auer

Forecasting with Business and Consumer Survey Data pp. 1-22

Oscar Claveria

A Model Predictive Control for the Dynamical Forecast of Operating Reserves in Frequency Regulation Services pp. 1-14

Pavlos Nikolaidis and Harris Partaourides

Load Forecasting in an Office Building with Different Data Structure and Learning Parameters pp. 1-14

Daniel Ramos, Mahsa Khorram, Pedro Faria and Zita Vale

Dynamic Pricing Recognition on E-Commerce Platforms with VAR Processes pp. 1-15

Alexander Faehnle and Mariangela Guidolin

Forecasting the Preparatory Phase of Induced Earthquakes by Recurrent Neural Network pp. 1-20

Matteo Picozzi and Antonio Giovanni Iaccarino

Forecasting Principles from Experience with Forecasting Competitions pp. 1-28

Jennifer Castle, Jurgen Doornik and David Hendry

Quantifying Drivers of Forecasted Returns Using Approximate Dynamic Factor Models for Mixed-Frequency Panel Data pp. 1-35

Monica Defend, Aleksey Min, Lorenzo Portelli, Franz Ramsauer, Francesco Sandrini and Rudi Zagst

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

Sonia Leva

Modeling of Lake Malombe Annual Fish Landings and Catch per Unit Effort (CPUE) pp. 1-17

Rodgers Makwinja, Seyoum Mengistou, Emmanuel Kaunda, Tena Alemiew, Titus Bandulo Phiri, Ishmael Bobby Mphangwe Kosamu and Chikumbusko Chiziwa Kaonga

Electrical Load Forecast by Means of LSTM: The Impact of Data Quality pp. 1-11

Alfredo Nespoli, Emanuele Ogliari, Silvia Pretto, Michele Gavazzeni, Sonia Vigani and Franco Paccanelli

Construction of a Predictive Model for MLB Matches pp. 1-11

Chia-Hao Chang