Enhancing renewable energy systems with advanced artificial intelligence solutions

Authors

  • Benchikh Salma Advanced systems engineering laboratory, Ibn Tofail University, Kenitra, Morocco. Author
  • Jarou Tarik Advanced systems engineering laboratory, Ibn Tofail University, Kenitra, Morocco. Author
  • Lamrani Roa Advanced systems engineering laboratory, Ibn Tofail University, Kenitra, Morocco. Author

DOI:

https://doi.org/10.56294/piii2024319

Keywords:

Artificial intelligence, renewable energy, Smart Grids, IoT, sustainability, Optimization

Abstract

As the global community increasingly prioritizes sustainability, the transition to renewable energy sources becomes paramount. However, the integration of renewables, such as solar and wind power, into existing energy infrastructures faces significant challenges due to their inherent variability and intermittency. Despite these obstacles, artificial intelligence (AI) offers a transformative solution. This article explores the multifaceted role of AI in addressing the complexities of renewable energy integration. From predictive analytics to optimize renewable energy generation to smart grid technologies that enhance grid stability, AI holds the key to unlocking the full potential of sustainable energy. By examining the intersection of AI and renewable energy integration, this article illuminates how innovative technologies can drive the global shift towards a more sustainable energy paradigm.

References

1. Grataloup A, Jonas S, Meyer A. A review of federated learning in renewable energy applications: Potential, challenges, and future directions. Energy and AI. 2024 May;100375. http://dx.doi.org/10.1016/j.egyai.2024.100375

2. Renewable energy power forecasting technology. http://dx.doi.org/10.3403/30430999u

3. Warrier PV. Forecasting of renewable energy sources. Power Systems Operation with 100%

4. Renewable Energy Sources. 2024;15–21. http://dx.doi.org/10.1016/b978-0-443-155789.00018-2

5. Vanegas Cantarero MM. Of renewable energy, energy democracy, and sustainable development: A roadmap to accelerate the energy transition in developing countries. Energy

6. Research & Social Science. 2020 Dec; 70:101716. http://dx.doi.org/10.1016/j.erss.2020.101716

7. Shedrack Onwusinkwue, Femi Osasona, Islam Ahmad Ibrahim Ahmad, Anthony Chigozie Anyanwu, Samuel Onimisi Dawodu, Ogugua Chimezie Obi, et al. Artificial intelligence (AI) in renewable energy: A review of predictive maintenance and energy optimization. World Journal of Advanced Research and Reviews. 2024 Jan 30;21(1):2487–799. http://dx.doi.org/10.30574/wjarr.2024.21.1.0347

8. Arumugham V, Ghanimi HMA, Pustokhin DA, Pustokhina IV, Ponnam VS, Alharbi M, et al. An Artificial-Intelligence-Based Renewable Energy Prediction Program for Demand-Side

9. Management in Smart Grids. Sustainability. 2023 Mar 20;15(6) http://dx.doi.org/10.3390/su15065453

10. Bose BK. ARTIFICIAL INTELLIGENCE APPLICATIONS IN RENEWABLE ENERGY SYSTEMS AND SMART GRID – SOME NOVEL APPLICATIONS. Power Electronics in Renewable Energy Systems and Smart Grid. 2019 Jul;625–75. http://dx.doi.org/10.1002/9781119515661.ch12

11. Sharma S, Bansal D. Big Data for Smart Grid. Big Data Analytics Framework for Smart Grids. 2023 Nov 23;64–78. http://dx.doi.org/10.1201/9781032665399-4

12. Dhumale TG, Patil S, Chaudhary AP, Bhosale S. Application of Artificial Intelligence algorithms for Grid integration of Renewable energy sources in the National Grid- Indian Government perspective- A Review. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT). 2023 Mar 11; http://dx.doi.org/10.1109/globconht56829.2023.10087664

13. Islam A, Othman F. Renewable Energy MicroGrid Power Forecasting: AI Techniques with Environmental Perspective. 2024 Apr 18; http://dx.doi.org/10.21203/rs.3.rs-4260337/v1

14. Elkazaz M, Sumner M, Thomas D. A hierarchical and decentralized energy management system for peer-to-peer energy trading. Applied Energy [Internet]. 2021 Jun;291:116766. Available from: http://dx.doi.org/10.1016/j.apenergy.2021.116766

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Published

2024-05-27

How to Cite

1.
Salma B, Tarik J, Roa L. Enhancing renewable energy systems with advanced artificial intelligence solutions. SCT Proceedings in Interdisciplinary Insights and Innovations [Internet]. 2024 May 27 [cited 2024 Oct. 12];2:319. Available from: https://proceedings.ageditor.ar/index.php/piii/article/view/286