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International Conference on Renewable Energy Forecasting, Modeling and Analysis - (ICREFMA-27)

5th - 6th February 2027 , Durban - South Africa

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Call For Papers

The (ICREFMA-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Renewable Energy, Electrical and Electronics Engineering, Data Science, Information Technology are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Forecasting models for renewable energy generation
  • Data-driven approaches to energy modeling
  • Statistical analysis of renewable energy trends
  • Machine learning in energy forecasting
  • Impact of weather on renewable energy output
  • Scenario analysis for energy modeling
  • Optimization techniques for energy systems
  • Renewable energy modeling software and tools
  • Integration of renewables in energy markets
  • Challenges in renewable energy forecasting
  • Real-time monitoring of renewable energy sources
  • Comparative analysis of forecasting methods
  • Policy implications of energy forecasting
  • Public acceptance of renewable energy forecasts
  • Economic modeling of renewable energy systems
  • Long-term forecasting for energy planning
  • Sensitivity analysis in energy models
  • Renewable energy forecasting case studies
  • Collaborative forecasting in energy sectors
  • Future directions in energy modeling research

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.