Forecasting MDPI

25/09/2025

Meet the Committee Members of Session 1: Energy Forecasting and Analytics!

We’re thrilled to introduce the experts guiding our first session, focused on the latest trends and innovations in energy forecasting and analytics. 🌍⚡
✨ Our Committee Members:
1. Professor Mohan Lal Kolhe – Faculty of Engineering & Science, University of Agder, Norway
2. Dr. Alessandro Niccolai – Department of Energy, Politecnico di Milano, Italy
3. Professor Ted Soubdhan – Department of Phsysics , University of Antilles, France
4. Prof. Dr. Pasquale De Falco – Department of Engineering, University of Napoli “Parthenope”, Italy

These distinguished professionals bring a wealth of experience in energy data analysis, predictive modeling, and sustainable energy solutions. Join us as they help shape the discussions and insights at
IOCT 2025!

25/09/2025

📘 Check out this article in MDPI Forecasting:

"Exploring the Role of Online Courses in COVID-19 Crisis Management in the Supply Chain Sector—Forecasting Using Fuzzy Cognitive Map (FCM) Models"

Discover how online learning has influenced crisis management and forecasting in supply chains during the pandemic.

🔗 Read the full article here: https://brnw.ch/21wW5vO

Globalization has gotten increasingly intense in recent years, necessitating accurate forecasting. Traditional supply chains have evolved into transnational networks that grow with time, becoming more vulnerable. These dangers have the potential to disrupt the flow of goods or several planned action...

25/09/2025

📘 article in MDPI Forecasting

"Searching for Promisingly Trained Artificial Neural Networks"

Explore innovative approaches in training artificial neural networks for improved forecasting.

🔗 Read the full article here: https://brnw.ch/21wW5vQ

Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their performance and broadening their applicability. This paper employs the Monte Carlo simulation (MCS) technique, integrated with a stopping criterion, to construct the probability distribution of the learn...

24/09/2025

📘 article in MDPI Forecasting!

"Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation"

Explore methods to enhance the reliability of expert judgment by reducing variance in weight assignments—critical for forecasting under uncertainty.

🔗 Read now: https://brnw.ch/21wW3BC

Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts’ elicited probability distributions of uncertain quantities. Experts’ weights are commonly derived from calibration experiments based on the experts’ performance scores, where perf...

24/09/2025

📘 article in MDPI Forecasting!

"On the Disagreement of Forecasting Model Selection Criteria"

Explore how different selection criteria can lead to diverging model choices—and what that means for forecasting accuracy and decision-making.

🔗 Read it here: https://brnw.ch/21wW3oD

Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation, among others. Although the latter two options are generally preferred due...

23/09/2025

📣 Exciting Update!

We're proud to share that our Editorial Board Member, Dr. Mariangela Guidolin, had the opportunity to represent and promote our journal at ENBIS Conference 🏛️—connecting with scholars, sharing recent publications, and highlighting new research opportunities.

🔗 Learn more about the journal: https://brnw.ch/21wW1js

23/09/2025

📘Open Access Article in MDPI Forecasting

"Automation in Regional Economic Synthetic Index Construction with Uncertainty Measurement"

This study introduces a robust methodology for automating the construction of synthetic economic indices at the regional level—while accounting for uncertainty. A valuable contribution to economic modeling and data-driven regional policy analysis.

🔗 Read the full article: https://brnw.ch/21wW1jg

Subnational jurisdictions, compared to the apparatuses of countries and large institutions, have less resources and human capital available to carry out an updated conjunctural follow-up of the economy (nowcasting) and for generating economic predictions (forecasting). This paper presents the result...

23/09/2025

📘 Open Access Article in MDPI Forecasting

"Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models: Evidence from European Financial Markets and Bitcoins"

This study explores the performance of advanced forecasting techniques across financial markets, offering valuable insights for researchers, analysts, and data scientists.

🔗 Read the full article here: https://brnw.ch/21wW1jc

This study analyzes the transmission of market uncertainty on key European financial markets and the cryptocurrency market over an extended period, encompassing the pre-, during, and post-pandemic periods. Daily financial market indices and price observations are used to assess the forecasting model...

22/09/2025

📘 article in

"Projected Future Flooding Pattern of Wabash River in Indiana and Fountain Creek in Colorado: An Assessment Utilizing Bias-Corrected CMIP6 Climate Data"

This study provides critical insights into future flood risks in two major U.S. watersheds using advanced climate modeling tools (CMIP6).

🔗 Read the full article here: https://brnw.ch/21wVZ9C

Climate change is considered one of the biggest challenges around the globe as it has been causing alterations in hydrological extremes. Climate change and variability have an impact on future streamflow conditions, water quality, and ecological balance, which are further aggravated by anthropogenic...

22/09/2025

📘 article in

"Predicting the Oil Price Movement in Commodity Markets in Global Economic Meltdowns"

Discover how oil prices behave during global economic crises through innovative forecasting models.

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

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...

19/09/2025

📘 article in

"Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil"

🌾 This study examines the impact of the Russia-Ukraine conflict on global agricultural commodity markets using forecasting models

🔗 Read here: https://brnw.ch/21wVUZw

The Russian invasion of Ukraine on 24 February 2022 accelerated agricultural commodity prices and raised food insecurities worldwide. Ukraine and Russia are the leading global suppliers of wheat, corn, barley and sunflower oil. For this purpose, we investigated the relationship among these four agri...

19/09/2025

📘 article in

"Methodology for Optimizing Factors Affecting Road Accidents in Poland"

🚗 This study presents a data-driven approach to identify and optimize key factors influencing road accidents in Poland.

🔗 Read here: https://brnw.ch/21wVUYS

With the rapid increase in the number of vehicles on the road, traffic accidents have become a rapidly growing threat, causing the loss of human life and economic assets. The reason for this is the rapid growth of the human population and the development of motorization. The main challenge in predic...