Forecasting MDPI

04/07/2025

📢Highly Cited Paper in
📖Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions
✍️by Konstantinos P. Fourkiotis and Athanasios Tsadiras

In today’s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to strengthen pharmaceutical production capacities, ...

04/07/2025

📢Highly Cited Paper in
📖Time Series Dataset Survey for Forecasting with Deep Learning
✍️by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen

Deep learning models have revolutionized research fields like computer vision and natural language processing by outperforming traditional models in multiple tasks. However, the field of time series analysis, especially time series forecasting, has not seen a similar revolution, despite forecasting ...

03/07/2025

📢Highly Cited Paper in
📖Utilizing the Honeybees Mating-Inspired Firefly Algorithm to Extract Parameters of the Wind Speed Weibull Model
✍️by Abubaker Younis, Fatima Belabbes, Petru Adrian Cotfas and Daniel Tudor Cotfas

This study introduces a novel adjustment to the firefly algorithm (FA) through the integration of rare instances of cannibalism among fireflies, culminating in the development of the honeybee mating-based firefly algorithm (HBMFA). The IEEE Congress on Evolutionary Computation (CEC) 2005 benchmark f...

03/07/2025

📢Highly Cited Paper in
📖Macroeconomic Predictions Using Payments Data and Machine Learning
✍️by James T. E. Chapman and Ajit Desai

This paper assesses the usefulness of comprehensive payments data for macroeconomic predictions in Canada. Specifically, we evaluate which type of payments data are useful, when they are useful, why they are useful, and whether machine learning (ML) models enhance their predictive value. We find pay...

02/07/2025

📢Highly Cited Paper in
📖Predicting the Oil Price Movement in Commodity Markets in Global Economic Meltdowns
✍️by Jakub Horák and Michaela Jannová

The price of oil is nowadays a hot topic as it affects many areas of the world economy. The price of oil also plays an essential role in how the economic situation is currently developing (such as the COVID-19 pandemic, inflation and others) or the political situation in surrounding countries. The p...

02/07/2025

📢Highly Cited Paper in
📖Transforming Agricultural Productivity with AI-Driven Forecasting: Innovations in Food Security and Supply Chain Optimization
✍️by Sambandh Bhusan Dhal and Debashish Kar

Global food security is under significant threat from climate change, population growth, and resource scarcity. This review examines how advanced AI-driven forecasting models, including machine learning (ML), deep learning (DL), and time-series forecasting models like SARIMA/ARIMA, are transforming ...

01/07/2025

📢Highly Cited Paper in
📖 as an Identifier of in Selected
✍️by Marek Vochozka, Svatopluk Janek and Zuzana Rowland

The research goal presented in this paper was to determine the strength of the relationship between the price of coffee traded on ICE Futures US and Consumer Price Indices in the major urban agglomerations of the United States—New York, Chicago, and Los Angeles—and to predict the future developm...

01/07/2025

📢Highly Cited Paper in
📖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 and Thakhani Ravele

https://brnw.ch/21wTOwP

The main source of electricity worldwide stems from fossil fuels, contributing to air pollution, global warming, and associated adverse effects. This study explores wind energy as a potential alternative. Nevertheless, the variable nature of wind introduces uncertainty in its reliability. Thus, it i...

30/06/2025

📢Highly Cited Paper in
📖Global Solar Radiation Forecasting Based on Hybrid Model with Combinations of Meteorological Parameters: Morocco Case Study
✍️by Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband and Abdelmajid El Bouardi

https://brnw.ch/21wTMMP

The adequate modeling and estimation of solar radiation plays a vital role in designing solar energy applications. In fact, unnecessary environmental changes result in several problems with the components of solar photovoltaic and affects the energy generation network. Various computational algorith...

30/06/2025

📢Highly Cited Paper in
📖Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach
✍️by Teerachai Amnuaylojaroen

Southeast Asia (SEA), known for its diverse climate and broad coastal regions, is particularly vulnerable to the effects of climate change. The purpose of this study is to enhance the spatial resolution of temperature projections over Southeast Asia (SEA) by employing three machine learning methods:...

27/06/2025

📢New Publication in
📖Dynamic Forecasting of Gas Consumption in Selected European Countries
✍️by Mariangela Guidolin and Stefano Rizzelli

https://brnw.ch/21wTJEo

27/06/2025

📢New Publication in
📖 Forecasting Robust Gaussian Process State Space Models for Assessing Intervention Impact in Internet of Things Time Series
✍️by Patrick Toman, Nalini Ravishanker, Nathan Lally and Sanguthevar Rajasekaran

https://brnw.ch/21wTJDL