Applications Of AI Topology On Renewable Energy Resources: A Review

Abstract

Renewable energy (RE) plays a crucial role in promoting sustainability, environmental conservation, and cost-effective electricity generation. The gradual reduction in fossil fuel dependency for electricity production since 2019 underscores the rising prominence of RE in meeting global energy demands. Ongoing research activities aim to enhance the efficacy of RE technologies, with a particular focus on improving energy conversion efficiency. Concurrently, Artificial intelligence (AI) has emerged as a transformative tool in the energy sector, offering extraordinary capabilities in data analysis, operational optimization, and future development forecasting. The transition to new energy sources can be facilitated by the application of AI solutions. We can reduce greenhouse gas (GHG) emissions by identifying regions where there is potential for boosting the usage of solar energy through supply forecasting. AI can help achieve about 80% of the SDGs.  This paper provides a comprehensive overview of commonly utilized AI techniques in various applications within the domain of sustainable energy. From optimizing efficiency to augmenting precision, AI holds immense potential to revolutionize energy systems and pave the path towards a more intelligent and sustainable future.