Conference Description:

Organized by the MDPI open?access journal Forecasting (ISSN?2571?9394; Impact Factor?3.2), IOCFC?2026 aims to unite researchers, industry professionals, and policymakers in a dynamic, interdisciplinary environment. This inaugural edition emphasizes rapid, global exchange of cutting?edge forecasting research without the need for travel

Key Themes & Topics
The conference invites contributions across four core areas of forecasting:
- Energy Forecasting and Analytics
- AI Forecasting & Large Language Models
- Forecasting and Econometric Models
- Weather and Climate Forecasting

Conference Chair
Prof. Dr. Sonia Leva (Editor?in?Chief of Forecasting, Politecnico di Milano) leads the conference with expert guidance and vision

Why Attend?
- Virtual Access: Engage with peers and leaders from anywhere with zero travel barriers.
- Broad Scope: From AI innovations and econometric techniques to energy, climate, and weather predictive models.
- Interdisciplinary Exchange: A rare platform that spans domains, encouraging cross-pollination of ideas.
- Visibility & Impact: Present in a high-profile, open-access venue closely linked to a reputable MDPI journal.