Forecasting MDPI

27/11/2025

📢 New Publication in Forecasting!

We’re excited to share our latest research article:

📘 Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth

This work presents a robust ML-based framework that helps identify SMEs with strong investment potential—supporting better access to equity financing and contributing to sustainable economic growth.

✍️ Authors: Periklis Gogas, Theophilos Papadimitriou, Panagiotis Goumenidis, Andreas Kontos and Nikolaos Giannakis

🔗 Read the full article:

Small and medium-sized enterprises (SMEs) are critical contributors to economic growth, innovation, and employment. However, they often struggle in securing external financing. This financial gap mainly arises from perceived risks and information asymmetries creating barriers between SMEs and potent...

26/11/2025

📢 New Special Issue in !

"Advanced Forecasting in an Era of Uncertainty and Its Impact on Strategic Investment Decisions"

Guest Editors: Dr. Marek Nagy and Dr. Katarina Valaskova

We are pleased to announce that this Special Issue in Forecasting is now open for submissions! 🔥🌍

This issue welcomes innovative contributions that explore how advanced forecasting methods support strategic investment choices in uncertain environments.

🔗 Learn more & submit your research: https://brnw.ch/21wXQxX

📆 Submission Deadline: 30 November 2026

26/11/2025

📢 New Publication in

📖 Short-Term Prediction in an Emergency Healthcare Unit: Comparison Between ARIMA, ANN, and Logistic Map Models

✍️ Authors: Andres Eberhard Friedl Ackermann, Virginia Fani, Romeo Bandinelli and Miguel Afonso Sellitto

We are pleased to announce the publication of this study comparing ARIMA, Artificial Neural Networks, and Logistic Map models for short-term prediction in emergency healthcare settings.

🔗

Emergency departments worldwide face challenges in managing fluctuating patient demand, which is often inadequately addressed by traditional forecasting methods due to the inherent nonlinearities of data. The purpose of this study is to propose a short-term prediction model for daily attendance in a...

25/11/2025

The countdown continues! 🎉

The 1st International Online Conference on Forecasting (IOCFC 2026) is approaching, and the excitement is building.

On 21–22 September 2026, researchers, students, professionals, and forecasting enthusiasts from around the world will gather online to share ideas and explore the future of forecasting.

🌍 Want to connect, learn, and be part of a global scientific community?

You’re invited. 💻✨

Stay tuned for more updates and feel free to share the news!

https://brnw.ch/21wXOiE

25/11/2025

📢 New Publication in

📖 Study of Aircraft Icing Forecasting Methods and Their Application Scenarios over Eastern China

✍️ Authored by Sha Lu, Chen Yang and Weixuan Shi

This study explores aircraft icing forecasting techniques and assesses their suitability under varying atmospheric conditions in Eastern China—offering valuable insights for aviation safety, meteorology, and operational decision-making.

🔗 https://brnw.ch/21wXOi7

24/11/2025

📢 New Publication in Forecasting!

📖 From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting

✍️ Authors: Zhicong Song, Harris Sik-Ho Tsang, Richard Tai-Chiu Hsung, Yulin Zhu & Wai-Lun Lo

This study introduces an adaptive Transformer–Reinforcement Learning framework to improve forecasting of financial time series using market sentiment, offering new predictive insights for volatile markets.

🔗 Read the full article: https://brnw.ch/21wXMbR

24/11/2025

📢 New Publication in MDPI!

📖 Unveiling the Dynamics of Wholesale Sales and Business Cycle Impacts in Japan: An Extended Moving Linear Model Approach

✍️ Authors: Koki Kyo and Hideo Noda

This study provides new insights into wholesale market behavior and business cycle fluctuations using an extended moving linear model framework.

🔗 Read the full article: https://brnw.ch/21wXMbJ

Wholesale sales value is one of the key elements included in the coincident indicator series of the indexes of business conditions in Japan. The objectives of this study are twofold. The first is to comprehend features of dynamic structure of various components for 12 business types of the wholesale...

21/11/2025

📢 New Publication in !

📖 Prediction of 3D Airspace Occupancy Using Machine Learning

✍️ Cristian Lozano Tafur, Jaime Orduy Rodríguez, Pedro Melo Daza, Iván Rodríguez Barón, Danny Stevens Traslaviña and Juan Andrés Bermúdez

This study presents innovative machine learning approaches to predict 3D airspace occupancy, supporting safer and more efficient air traffic operations. Explore the full insights and findings below.

🔗 Read the full article here: https://brnw.ch/21wXHBe

This research introduces a system designed to predict three-dimensional airspace occupancy over Colombia using historical Automatic Dependent Surveillance-Broadcast (ADS-B) data and machine learning techniques. The goal is to support proactive air traffic management by estimating future aircraft pos...

21/11/2025

Environment & Earth Sciences Book Competition – Call for Proposals

Are you working in environment and earth sciences and looking for an opportunity to publish your work?

The Environment & Earth Sciences Book Competition offers selected proposals the chance to publish open access with MDPI Books, with a full waiver of Book Processing Charges worth up to CHF 12,000. This includes complete editorial and production support, global visibility, and promotional outreach.

Who can apply:
• All researchers working within the Environmental and Earth Sciences
• All career stages, geographic locations, and institutional affiliations welcome
• Proposals can be submitted by individuals or teams of authors
• Monographs and edited volumes are eligible (PhDs and extended PhDs are not)
• Proposed books should be approximately 30,000 to 90,000 words (100-250 pages)

Deadline: 14 December 2025

Learn more and submit here: https://brnw.ch/21wXHAo

20/11/2025

📢 Highly Cited Paper in !

"A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets"

✍️ Parul Dubey, Pushkar Dubey and Pitshou N. Bokoro

This influential work highlights innovative approaches that merge Transformer models with BDI architectures to enhance financial fraud detection across heterogeneous datasets, an impactful contribution to intelligent forecasting and data-driven security.

🔗 https://brnw.ch/21wXFrD

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow learning models often fall short in detecting sophisticated...

20/11/2025

📢 New Special Issue in !

"Fire Weather in a Warming Climate: From Surface Indices to Atmospheric Dynamics"

Guest Editors: Dr. Theodore M. Giannaros and Dr. Georgios Papavasileiou

We are pleased to announce that this Special Issue in Forecasting (MDPI) is now open for submissions! 🔥🌍

As climate change intensifies fire weather conditions around the globe, this issue aims to advance understanding from surface-based fire indices to the large-scale atmospheric dynamics driving extreme events.

🔗 Learn more & submit your research:
https://www.mdpi.com/journal/forecasting/special_issues/B0OA774AJR

📆 Submission Deadline: 31 December 2026

19/11/2025

📢 Highly Cited Paper in !

"Evaluating the Potential of Copulas for Modeling Correlated Scenarios for Hydro, Wind, and Solar Energy"

✍️ Anderson M. Iung, Fernando L. Cyrino Oliveira, Andre L. M. Marcato and Guilherme A. A. Pereira

Proud to highlight this impactful contribution to renewable energy forecasting and correlated scenario modeling.

🔗 https://brnw.ch/21wXDnS

The increasing global adoption of variable renewable energy (VRE) sources has transformed the use of forecasting, scenario planning, and other techniques for managing their inherent generation uncertainty and interdependencies. What were once desirable enhancements are now fundamental requirements. ...