International Conference on Emerging Time Series and Forecasting Practices

Important dates

1. 20 Oct

   Abstract / full paper deadline

   Passed

2. 16 Nov

   Conference

   Dubai, UAE

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

International Conference On Emerging Time Series And Forecasting Practices (ICETSFP) is a leading international academic conference dedicated to advancing research, innovation, and global collaboration across science, engineering, technology, and interdisciplinary studies. Organized by Global Association for Scientific Research and Innovation, this prestigious event brings together researchers, scientists, academicians, industry professionals, and students from around the world to share groundbreaking ideas and explore the latest research trends. The conference provides a dynamic platform for presenting original research papers, participating in insightful keynote sessions, and engaging in technical discussions that address real-world challenges. Through its diverse program, International Conference On Emerging Time Series And Forecasting Practices promotes innovation, knowledge exchange, and academic excellence across multiple disciplines. With a strong focus on global networking and research collaboration, International Conference On Emerging Time Series And Forecasting Practices (ICETSFP) helps participants connect with international experts, build partnerships, and gain exposure to emerging technologies and scientific advancements. The event is designed to inspire impactful research contributions that shape the future of science, engineering, and innovation worldwide.

Topics and scope

• Classical time series modelling
• Stationary and non-stationary processes
• Seasonal decomposition
• Spectral analysis
• Multivariate time series
• Short-term forecasting
• Long-term forecasting
• Demand forecasting
• Economic forecasting
• Scenario-based forecasting
• ARIMA and SARIMA models
• State-space models
• Vector autoregression
• Cointegration analysis
• Bayesian forecasting
• Deep learning for time series
• Neural forecasting models
• Recurrent neural networks
• Transformer-based forecasting
• Hybrid AI-statistical models
• Financial market prediction
• Stock market analytics
• Macroeconomic forecasting
• Risk forecasting
• Portfolio analytics
• Supply chain forecasting
• Sales forecasting
• Manufacturing analytics
• Business intelligence
• Inventory prediction
• Disease progression modelling
• Epidemiological forecasting
• Healthcare resource prediction
• Medical signal forecasting
• Clinical decision support
• Weather forecasting
• Climate modelling
• Hydrological forecasting
• Environmental monitoring
• Disaster prediction systems
• High-performance forecasting
• Cloud-based analytics
• Streaming time series analysis
• Real-time predictive systems
• Large-scale data processing
• Explainable forecasting models
• Quantum computing for forecasting
• Digital twins and predictive systems
• Autonomous forecasting platforms
• Emerging interdisciplinary forecasting research

Call for papers

The call for papers closed on 20 October 2026. For other conferences, see open calls for papers in this field.