Investigating the impact of artificial intelligence on the efficiency of renewable energy systems in Iran

Document Type : Original Article

Author
PhD student, Entrepreneurship Department, Sari Branch, Islamic Azad University, Sari, Iran
10.22034/jmek.2025.500830.1167
Abstract
Artificial Intelligence (AI) is an emerging and pervasive technology that has the potential to fundamentally transform the global economy and energy systems. By increasing the creativity and ability of scientists to discover and test new ideas, it can dramatically accelerate energy innovation. Renewable energy systems are built from natural resources such as sunlight, wind, water, and geothermal energy and use these resources to produce clean, sustainable energy. These systems are being developed with the aim of reducing transportation’s dependence on finite fossil fuels and reducing emissions.

Improving the efficiency of renewable energy systems is crucial to extracting more energy from renewable sources while minimizing waste, so that these systems can be better alternatives to non-renewable energy sources. Using AI in renewable energy systems and making these systems self-sufficient can bring many benefits.

Artificial intelligence (AI) encompasses advanced technologies that enable machines to simulate human intelligence and learn from data and make decisions. Applications of AI in energy systems include data analysis, modeling, optimization algorithms, and control mechanisms to increase performance, reliability, and sustainability. Integrating this technology into renewable energy systems can optimize operations,

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Volume 6, Issue 3
Autumn 2025

  • Receive Date 19 January 2025
  • Revise Date 16 February 2025
  • Accept Date 20 October 2025