International Conference on Time Series Forecasting for Engineering Systems
(ICTSFES - 27)

14th - 15th May 2027 Markham, Canada (Hybrid Event)

Call for Paper

The ICTSFES is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Time series forecasting techniques in engineering
  • Machine learning for predictive analytics
  • Statistical methods for time series analysis
  • Real-time forecasting in engineering systems
  • Challenges in time series forecasting
  • Applications of forecasting in industry
  • Deep learning for time series prediction
  • Case studies in engineering forecasting
  • Impact of IoT on time series analysis
  • Data preprocessing for time series data
  • Visualization of forecasting results
  • Machine learning algorithms for time series
  • Future trends in forecasting technologies
  • Integration of diverse data sources
  • Ethical considerations in forecasting models
  • Adaptive forecasting methods using AI
  • Collaborative forecasting approaches
  • Benchmarking forecasting models
  • User experience in forecasting applications
  • Machine learning frameworks for time series
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Sponsored & Indexed by