Program Overview
IOCFC 2026 Program DAY 1
Session 1. Energy Forecasting and Analytics
Date: 21 September
Time: 09:00 (CEST, Basel) | 03:00 (EDT, New York) | 15:00 (CST, Beijing)
| CEST Time | Speakers | Titles |
| 09:00–09:10 | Prof. Dr. Sonia Leva | Opening Speech |
| Event Chair | ||
| 09:10-09:15 | Professor Michel Querqio | Welcome from the Session Chair |
| Session Chair | ||
| 09:15-09:45 | Prof. Dr. Anamika Yadav | Real-Time Power Load Forecasting Using AI and Data Analytics: Practical Studies from Indian SLDCs |
| Keynote Speaker | ||
| 09:45-10:05 | Professor Alberto Dolara | From Data to Battery Intelligence: Machine Learning for SoC and SoH Forecasting |
| Invited Speaker | ||
| 10:05-10:20 | Gianluca Ferro | Decision-Focused Learning for Optimal Energy Management in Microgrids |
| Selected Speaker | ||
| 10:20-10:35 | Liam Villas-Bôas | Artificial Neural Network Model for Forecasting Distributed Solar Photovoltaic Generation |
| Selected Speaker | ||
| 10:35-10:50 | Davide Milillo | Probabilistic Grid Load Forecasting: Surpassing TSO Baselines via Temporal Fusion Transformers |
| Selected Speaker | ||
| 10:50-11:05 | Wagd Ajeeb | Energy, Economic, and Environmental Forecasting for Sustainable Rail Transport: Green Hydrogen Deployment on the Silk Road Corridor |
| Selected Speaker | ||
| 11:05-11:20 | Marios Saleptsis | A Receding-Horizon Decision-Focused Learning Framework for Cost-Optimal Battery Scheduling in Microgrids |
| Selected Speaker | ||
| 11:20-11:35 | Salvador Yabar Reaño | Short-Term Solar Forecasting for San Cristóbal Island Using Ground Meteorological Instruments |
| Selected Speaker | ||
| 11:35-11:50 | Lorenzo Sabino | Specialized versus Generic XGBoost Models for Direct Multi-Step Time Series Forecasting: A Comparative Study on the ETT Benchmark |
| Selected Speaker | ||
| 11:50-11:55 | Masud Kabir | Severity Trajectory Forecasting for UAV-Inspected Photovoltaic Systems Using Thermographic Threshold Crossing Rates |
| Poster Presenter | ||
| 11:55-12:00 | Riccardo Ramaschi | Improving Day-Ahead Market Price Forecasting through a Spatially Informed Clustering Framework |
| Poster Presenter |
IOCFC 2026 DAY 1
Session 3. Forecasting and Econometric Models
Date: 21 September
Time: 14:00 (CEST, Basel) | 08:00 (EDT, New York) | 20:00 (CST, Beijing)
| CEST Time | Speaker | Title |
| 14:00–14:10 | Dr. Konstantia Litsiou | Welcome from the Session Chair |
| Session Chair | ||
| 14:10-14:40 | Professor Fotios Petropoulos | The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting |
| Keynote Speaker | ||
| 14:40-15:00 | Dr. Katja Heinisch | Advancing Sectoral Nowcasting: Large Language Models and Machine Learning Approaches |
| Invited Speaker | ||
| 15:00-15:15 | Seunghee Lee | Nowcasting Monthly Consumption Indicators Using Credit Card Transactions: Evidence from Korea |
| Selected Speaker | ||
| 15:15-15:30 | Harris Sik-Ho Tsang | MF-TimesNet: An FFT-Driven Multi-Factor Fusion Framework for Stock Directional Prediction |
| Selected Speaker | ||
| 15:30-15:45 | Lisa Vecchi | Optimal Partitioning Changepoint Analysis |
| Selected Speaker | ||
| 15:45-16:00 | Renato Rossetti | High-Frequency Tourism Flow Forecasting in a Historical City Center: A Rolling Origin Evaluation of DHR, Splines, and TBATS Models |
| Selected Speaker | ||
| 16:00-16:15 | Peter Pflaumer | Forecasting Human Longevity under Changing Mortality Patterns |
| Selected Speaker | ||
| 16:15-16:30 | Virgilio Doquesa Espina | Explainable Neural Forecasting for Small-Sample Time Series: A SHAP-Based Analysis of Dengue Incidence in Cebu City, Philippines |
| Selected Speaker | ||
| 16:30-16:45 | Vittorio Maniezzo | Forecasting-Oriented Changepoint Detection |
| Selected Speaker | ||
| 16:45-16:50 | Fatna Bensaber | On Prediction with Functional Autoregressive Processes |
| Poster Presenter | ||
| 16:50-16:55 | An Bao Tran | Forecasting State-Level Violent Crime in the U.S.: A Leakage-Free LSTM Approach |
| Poster Presenter | ||
| 16:55-17:00 | Ratikorn Sornumpol | Macroeconomic Feature Extraction for S&P 500 Return Forecasting and Market Regime Classification Using PCA and Explainable Machine Learning |
| Poster Presenter |
IOCFC 2026 DAY 2
Session 2. AI Forecasting & Large Language Models
Date: 22 September
Time: 09:00 (CEST, Basel) | 03:00 (EDT, New York) | 15:00 (CST, Beijing)
| CEST Time | Speakers | Titles |
| 09:00-09:10 | Prof. Dr. Erol Egrioglu | Welcome from the Session Chair |
| Session Chair | ||
| 09:10-09:40 | Professor Mario Versaci | Energy Forecasting Beyond Prediction: Lie Algebras and the Geometry of Dynamic Interactions |
| Keynote Speaker | ||
| 09:40-10:00 | Professor Eren Bas | Decile Mean-Based Artificial Neural Network |
| Invited Speaker | ||
| 10:00-10:15 | Fahim Sufi | Forecast Ready Cyber Threat Salience Signals from Global Cybersecurity News Metadata |
| Selected Speaker | ||
| 10:15-10:30 | Patricia Ramos | Online Conditional KAN-Based Forecasting for Practical Time-Series Anomaly Detection |
| Selected Speaker | ||
| 10:30-10:45 | Ricardo Galante | A Hybrid Forecasting System for New Product Demand: Integrating Statistical and Machine Learning Methods |
| Selected Speaker | ||
| 10:45-11:00 | Ahmad EL OUALFI | Predicting Next Moves: Customer Nowcasting Using Data Science |
| Selected Speaker | ||
| 11:00-11:15 | Foivos Georgios Kyrgios | Knowledge Distillation for State of Health Estimation in Lithium-Ion Batteries |
| Selected Speaker | ||
| 11:15-11:30 | Lujun Lyu | TRN: A 36K-Parameter Oscillator Network for Time Series Forecasting |
| Selected Speaker | ||
| 11:30-11:45 | Suryasivaji Killi | Uncertainty-Aware Hybrid AI Forecasting for Multi-Location Inventory Redistribution: A Forecast-then-Optimize Framework |
| Poster Presenter |
IOCFC 2026 DAY 2
Session 4. Weather and Climate Forecasting
Date: 22 September
Time: 14:00 (CEST, Basel) | 08:00 (EDT, New York) | 20:00 (CST, Beijing)
| CEST Time | Speaker | Title |
| 14:00–14:10 | Dr. Jun Zhang | Welcome from the Session Chair |
| Session Chair | ||
| 14:10-14:40 | Prof. Dr. Paul Williams | The Past, Present, and Future of Weather and Climate Forecasting |
| Keynote Speaker | ||
| 14:40-15:10 | Dr. Jun Zhang | Bridging Science and Operations: New Frontiers in Tropical Cyclone Forecasting |
| Keynote Speaker | ||
| 15:10-15:30 | Dr. Jun Du | A Serious Deficiency in Today’s Ensemble Weather Prediction Model: a Spatial Scale Mismatch between Ensemble Spread and Forecast Error |
| Invited Speaker | ||
| 15:30-15:55 | Fabio Merizzi | Beyond the Predictability Desert: A Data-Driven Approach to 5-Week Temperature Forecasting |
| Selected Speaker | ||
| 15:55-16:10 | Naveen Prasad Ravichandran | CO₂-Conditioned Temporal Convolutional Networks for Robust Climate Forecasting under Distribution Shift |
| Selected Speaker | ||
| 16:10-16:25 | Manuel Mazza | Translating Spatial Precipitation Forecast Errors into Operational Criteria for Dynamic Reservoir Operation |
| Selected Speaker | ||
| 16:25-16:40 | Mohammad Khalid Hasan Nabil | A Fourier-Guided Machine Learning Framework for District-Level Dew Point Comfort Forecasting Across 64 districts of Bangladesh (2025–2027) |
| Selected Speaker | ||
| 16:40-16:55 | Arnoldo Eluzaim Rodriguez-Sanchez | Forecasting CO2 Emissions in Mexico by Assessing Trend Dependence and Explainable AI Predictive Signals |
| Selected Speaker | ||
| 16:55-17:00 | Ahnaf Ayman | Ozone Forecasting: A Comparative Study of Ensemble Learning Methods under Varying Meteorological Factors |
| Poster Presenter | ||
| 17:00-17:05 | Katikala Jyothi | An Optimized Ensemble Machine Learning Framework for Multi-City AQI Forecasting in India: A Comparative Study of Feature Engineering and Hyperparameter Tuning |
| Poster Presenter | ||
| 17:05-17:10 | Sourabh Bal | Forecasting Severe Cyclone Amphan (2020) over the Bay of Bengal Using a High-Resolution ICON Model Driven by ERA5 Reanalysis |
| Poster Presenter | ||
| 17:10-17:20 | Prof. Dr. Sonia Leva & Dr. Alessandro Niccolai | Closing Speech |
| Event Chairs |
Program Overview
