Forecasting MDPI

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📖 Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models

✍️ By Geun-Cheol Lee and June-Young Bang

🔗 Read the article here: https://brnw.ch/21x36Zf

🚢 Explore how SARIMAX models leverage external economic and operational factors to improve container throughput forecasting, offering valuable insights for port planning and supply chain decision-making.

Forecasting Container Throughput of Singapore Port Considering Various Exogenous Variables Based on SARIMAX Models In this study, we propose a model to forecast container throughput for the Singapore port, one of the busiest ports globally. Accurate forecasting of container throughput is critical for efficient port operations, strategic planning, and maintaining a competitive advantage. Using monthly container t...

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📖 Is Football Unpredictable? Predicting Matches Using Neural Networks

✍️ By Luiz E. Luiz, Gabriel Fialho and João P. Teixeira

🔗 Read the article here: https://brnw.ch/21x36YR

⚽ Discover how neural networks can uncover hidden patterns in football matches and improve predictive accuracy in one of the world's most dynamic sports.

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📖 Forecasting and Anomaly Detection in BEWS: Comparative Study of Theta, Croston, and Prophet Algorithms

✍️ By Aleksandr N. Grekov, Elena V. Vyshkvarkova, and Aleksandr S. Mavrin

🔍 This study presents a comparative analysis of Theta, Croston, and Prophet algorithms for forecasting and anomaly detection in BEWS, offering valuable insights into their performance and practical applications in time-series analysis and decision-making.

🔗 Read the article here: https://brnw.ch/21x35KJ

Meet Our Conference Session 1 Chair! 🌟

We are thrilled to announce Prof. Dr. Mohsin Jamil (Memorial University of Newfoundland) as the Session Chair of Session 1: Energy Forecasting and Analytics at IOCFC 2026 👏
🔹 Dr. Mohsin Jamil is an Associate Professor in the Department of Electrical and Computer Engineering at Memorial University of Newfoundland, Canada. He holds a Ph.D. in Electrical Engineering from the University of Southampton, UK, and master’s degrees from the National University of Singapore and Dalarna University, Sweden. His expertise spans control systems, mechatronics, robotics, power and energy systems, signal processing, and intelligent automation.

His research focuses on control techniques for power electronic converters, smart grids, and mechatronic systems, with applications in multidisciplinary fields such as biomedical and communication systems using AI-based control. Dr. Jamil is a Senior Member of IEEE, Associate Editor of IEEE Access, and Professional Engineer (PEC). He has received multiple teaching and research awards and has authored numerous IEEE journal and conference papers.

📖 Learn more: https://brnw.ch/21x35JV

Meet Our Conference Chairs! 🎉🌟

We are thrilled to announce Dr. Alessandro Niccolai (Politecnico di Milano) as the Conference Chair of the 1st International Online Conference on Forecasting happening on 21–22 September 2026!
Dr. Alessandro Niccolai earned his PhD in Electrical Engineering from Politecnico di Milano (Italy) in 2019 and now works as an Assistant Professor at the university’s Department of Energy.

His research interests include computational intelligence methods, such as machine learning and optimization, applied to microgrids, renewable energy systems, electric mobility, and energy markets.

📖 Learn more: https://brnw.ch/21x33Iu

🌍📈 Join us for insightful discussions on the future of forecasting, energy systems, and data-driven innovation!

📍 We are pleased to announce that will be attending the 86th Annual Meeting of the Academy of Management ( ), taking place in Philadelphia, USA, from 31 July to 4 August 2026.

As the premier global gathering of management and organization scholars, AOM offers an unparalleled opportunity to engage with cutting-edge research, exchange ideas, and connect with an international academic community dedicated to advancing the field.

We look forward to meeting researchers, authors, and collaborators at Booth 304 to explore new opportunities for scholarly collaboration.

Learn more about our participation here:
https://brnw.ch/21x33CY

If you are attending, we invite you to stop by and connect with us.

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📖 Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints

✍️ By Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi, and Alireza Daneshkhah

💡 This study highlights how natural language processing can support earlier detection of gout flares, helping advance predictive healthcare and data-driven decision-making.

🔗 Read the article here: https://brnw.ch/21x320c

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Meet Our Conference Chairs! 🎉🌟

We are thrilled to announce Prof. Dr. Sonia Leva (Politecnico di Milano) as the Conference Chair of the 1st International Online Conference on Forecasting happening on 21–22 September 2026! 👏
🔹 Prof. Dr. Sonia Leva is Full Professor of Electrical Engineering at Politecnico di Milano and Deputy Director of the Department of Energy. ⚡🏛️ Her research focuses on MicroGrid optimization, renewable energy systems 🌱☀️, and forecasting for photovoltaic, wind 🌬️, and EV power 🚗🔋.

📖 Learn more:
https://brnw.ch/21x3207

🌍📈 Join us for insightful discussions on the future of forecasting, energy systems, and data-driven innovation!

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📖 A Markov Switching Autoregressive Model with Time-Varying Parameters

✍️ By Syarifah Inayati, Nur Iriawan and Irhamah

💡 This study proposes an advanced regime-switching model that captures nonlinear dynamics and structural changes in time series, improving forecasting accuracy in complex economic systems.

🔗 Read the article here: https://brnw.ch/21x2TNJ

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

✍️ By Felix Schmid and Jorge Leandro

💡 This study presents a robust data-driven approach for improving multi-step flood inundation forecasting, supporting more accurate and timely decision-making in flood risk management.

🔗Read the article here: https://brnw.ch/21x2TNa