A study on the role of artificial intelligence and renewable energy technologies in building a sustainable future

https://doi.org/10.55529/jaimlnn.51.14.27

Authors

  • Mahdi Fadil Khaleel Community Health Department, Technical Institute, Kirkuk, Northern Technical University, Iraq.
  • Zainab Mohammed Abdulkareem Kirkuk Technical College Engineering, Northern Technical University, Iraq.

Keywords:

Artificial Intelligence, Renewable Energy, Sustainability, Energy Efficiency, Smart Grids

Abstract

AI and renewable energy technologies have already emerged as leading drivers of sustainability, with a focus accelerating around global energy demand and climate change at the forefront of contemporary problems. This concept is mainly new as this research is related to AI revolutionary role in improving efficiency of renewable energy generation, distribution and consumption to reduce environmental pollution. AI analytics and smart grids and systems automate energy use, integrating solar, wind, and other renewable sources into the grid more smoothly. AI-based energy predictions and fault detection are also critical actions that bring first-world grid reliability and cost savings. The report identifies, through case studies and emerging trends, the untapped potential of the synergy between Renewable Energy and AI as a transformative force for advancing the sustainable, low-carbon development agenda. They show the potential of power to decarbonize the energy sector, to create economic sustainable growth, to address compact non environmental challenges.

Published

2025-05-28

How to Cite

Mahdi Fadil Khaleel, & Zainab Mohammed Abdulkareem. (2025). A study on the role of artificial intelligence and renewable energy technologies in building a sustainable future. Journal of Artificial Intelligence,Machine Learning and Neural Network , 5(1), 14–27. https://doi.org/10.55529/jaimlnn.51.14.27