Hybrid Conference (In Person / Virtual)

International Conference on Renewable Energy Forecasting, Modeling and Analysis (ICREFMA - 27)
19th - 20th January 2027 , Monte Carlo, Monaco
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Call For Papers

The ICREFMA provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Renewable Energy, Electrical and Electronics Engineering, Data Science, Information Technology, encouraging participation from emerging researchers and fostering academic growth.

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

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.