Integrating Artificial Intelligence for Enhanced Grid Stability and Renewable Energy Management in France: An Integrative Literature Review

Abstract

This integrative literature review (ILR) delves deeply into the role of artificial intelligence (AI) in enhancing grid stability and managing renewable energy sources in France. The central issue in this study is the difficulty in integrating intermittent renewable sources such as wind and solar electricity, which impacts the energy grid's stability and efficiency. The review looks into how artificial intelligence might improve the prediction and optimization of energy output from these volatile sources, enhancing supply- and demand management. It demonstrates AI's potential to improve grid stability, minimize waste, and promote sustainable energy practices. The study also cites essential barriers such as data protection, infrastructural sufficiency, and the substantial investments required to modernize existing systems for AI integration. Based on a thorough examination of existing research, the review underlines the need for solid legislative frameworks to support ethical AI deployment in line with France's environmental and energy goals. This research paper is critical for policymakers because it provides insights into the strategic application of AI to promote a more efficient and resilient energy industry. The study's findings and recommendations urge further AI research and practical applications to guide France and other nations to a more sustainable and stable energy future.

Keywords:

Artificial intelligence (AI), France, energy sector, Grid stability, Renewable energy integration, Energy management, Technological advancement, Sustainability transition, Edge computing, Blockchain technologies, Infrastructure investments, Skills development, Ethical AI deployment, Sustainable energy future