Exploring the Artificial Intelligence Implementation in Solar Photovoltaics: A Bibliometric Analysis and Emerging Trend
Solar power is a feasible replacement for fossil fuel-based energy sources since it reduces carbon footprints and greenhouse gas emissions, qualities needed for the fight against climate change. Still, solar energy constantly faces societal, environmental, and technical obstacles. Advanced computing techniques such as artificial intelligence (AI) can help to alleviate some of these technical challenges. This paper uses the PRISMA approach on the Scopus database for bibliometric analysis to investigate AI applications in Solar Photovoltaics (PV). We then arrange publication themes, analyse the publishing pattern to identify the most significant journals and publications using author keyword data. Co-occurrence analysis and trend visualisation were assessed using VOSviewer and Biblioshiny. Based on the findings, India, China, the United States, and Saudi Arabia dominate the publishing output, with high citation counts and extensive collaboration networks. Interestingly, four institutions in Saudi Arabia emerged as the lead with the most publication counts in this field. To identify current research gaps and future directions, we also evaluated hotspots and recent advancements in the AI applications within Solar PV research. AI-driven forecasting, fault detection, performance monitoring, cybersecurity, and Internet of Things (IoT) integration, which enables real-time and autonomous decision making, could potentially take the front stage in future renewable energy research.
Authors:
Fitya Syarifa Mozar, Andrea Stevens Karnyoto, Endang Djuana, Derrick Speaks, Arief Budiman, Bens Pardamean
2025 International Conference on Eco Engineering Development (ICEED)