^1.Allag Fateh, ^1.Fenni Mohamed, ^2.Bouharati Khaoula

1. Faculty of Natural Sciences and Life, UFAS Setif 1 University, Algeria

2. Faculty of Medicine, UFAS Setif 1 University, Algeria

Objective: The research aims to analyze the effects of climate change on the production of renewable energy, focusing on sources such as solar, wind, and hydroelectric power.

Methodology: We will develop a comprehensive model utilizing artificial neural networks (ANNs) to examine the multifaceted factors that influence renewable energy production in the context of climate variability. This will involve integrating climate data, including temperature fluctuations, precipitation patterns, and extreme weather events.

Results: The model will identify correlations and trends that affect energy output, providing a detailed understanding of how various climate factors impact renewable energy generation.

Conclusion: The findings will offer actionable insights for policymakers and stakeholders in the renewable energy sector, enhancing strategies for optimizing energy production and increasing resilience in energy systems amidst climate uncertainty.

Key words: Climate changes, Renewable energy, Intelligent modeling, ANN