Hybrid Conferencee

International Conference on Renewable Energy Forecasting, Modeling and Analysis (ICREFMA - 26)

14th - 15th October 2026 | Guelph, Canada

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Guelph. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Guelph event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Guelph conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Guelph, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Guelph."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICREFMA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Renewable Energy,Electrical and Electronics Engineering,Data Science,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Forecasting models for renewable energy generation
02
Data-driven approaches to energy modeling
03
Statistical analysis of renewable energy trends
04
Machine learning in energy forecasting
05
Impact of weather on renewable energy output
06
Scenario analysis for energy modeling
07
Optimization techniques for energy systems
08
Renewable energy modeling software and tools
09
Integration of renewables in energy markets
10
Challenges in renewable energy forecasting
11
Real-time monitoring of renewable energy sources
12
Comparative analysis of forecasting methods
13
Policy implications of energy forecasting
14
Public acceptance of renewable energy forecasts
15
Economic modeling of renewable energy systems
16
Long-term forecasting for energy planning
17
Sensitivity analysis in energy models
18
Renewable energy forecasting case studies
19
Collaborative forecasting in energy sectors
20
Future directions in energy modeling research