Forecasting MDPI

31/12/2025

📘 Must Read in !

📖 Bootstrapping Long-Run Covariance of Stationary Functional Time Series

Discover advanced bootstrapping techniques for estimating long-run covariance in functional time series analysis.

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

A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal component regression for forecasting functional time...

31/12/2025

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📖 Automation in Regional Economic Synthetic Index Construction with Uncertainty Measurement

Learn how automated methods improve regional economic index construction while accounting for uncertainty.

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

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...

30/12/2025

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📖 An In-Depth Look at Rising Temperatures: Forecasting with Advanced Time Series Models in Major US Regions

Gain insights into advanced time series approaches for temperature forecasting across major U.S. regions.

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

With growing concerns over climate change, accurately predicting temperature trends is crucial for informed decision-making and policy development. In this study, we perform a comprehensive comparative analysis of four advanced time series forecasting models—Autoregressive Integrated Moving Averag...

30/12/2025

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📖 Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models

Explore how machine learning enhances drought assessment and forecasting accuracy using SPI and SPEI indices.

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

The rising frequency and severity of droughts requires accurate monitoring and forecasting to reduce the impact on water resources and communities. This study aims to investigate drought monitoring and categorization, while enhancing drought forecasting by using three machine learning models—Artif...

29/12/2025

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📖 An Extended Analysis of Temperature Prediction in Italy: From Sub-Seasonal to Seasonal Timescales

Explore advanced approaches to temperature forecasting across multiple timescales in Italy.

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

29/12/2025

📘 Must Read in !

📖 An Alternative Proof of Minimum Trace Reconciliation

Discover a fresh perspective on trace reconciliation methods and their applications in forecasting.

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

29/12/2025

📢 is pleased to attend the 2026 Joint Mathematics Meeting (JMM 2026), taking place from 4–7 January 2026 in Washington D.C., USA.

Visit the MDPI booth (243, Hall D) at the Walter E. Washington Convention Center to meet our team, discuss publishing opportunities, and learn more about our open-access journals.

https://brnw.ch/21wYGKo

We look forward to connecting with the mathematics research community.

26/12/2025

📘 Must Read in !

📖 Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach

🌏 Explore how machine learning enhances climate data downscaling for improved regional temperature forecasting.

🔗 Read the full article: https://brnw.ch/21wYE9a

26/12/2025

📘 Must Read in !

📖 A Foresight Framework for the Labor Market with Special Reference to Managerial Roles—Toward Diversified Skill Portfolios

💼 Discover how foresight methods can help anticipate future skill needs and evolving managerial roles.

🔗 Read the full article: https://brnw.ch/21wYE3h

25/12/2025

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📖 A Delphi–Fuzzy Delphi Study on SDGs 9 and 12 after COVID-19: Case Study in Brazil

🌍 Explore expert-driven insights on sustainable industry and responsible consumption in the post-pandemic context.

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

25/12/2025

📘 Must-read in

📖 A Data-Driven Multi-Step Flood Inundation Forecast System

🌊 This article presents a data-driven framework for multi-step flood inundation forecasting, contributing to improved early warning systems and flood risk management.

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

Inundation maps that show water depths that occur in the event of a flood are essential for protection. Especially information on timings is crucial. Creating a dynamic inundation map with depth data in temporal resolution is a major challenge and is not possible with physical models, as these are t...

24/12/2025

📢 Highly Cited in

📖 Extracting Statistical Properties of Solar and Photovoltaic Power Production for the Scope of Building a Sophisticated Forecasting Framework

✍️ Joseph Ndong and Ted Soubdhan

This study analyzes the statistical characteristics of solar and photovoltaic power production to support the development of advanced forecasting frameworks. A valuable resource for researchers and practitioners in renewable energy and predictive analytics.

🔗 Read the full study: https://brnw.ch/21wYBTs

Building a sophisticated forecasting framework for solar and photovoltaic power production in geographic zones with severe meteorological conditions is very challenging. This difficulty is linked to the high variability of the global solar radiation on which the energy production depends. A suitable...