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Green Energy and Smart Automation: A Bibliometric and Systematic Review of Emerging Trends
Abstract
The rising global demand for sustainable energy and advancements in automation have driven interest in green energy and smart automation research. This study reviews trends, key contributions, and structures in this field through a bibliometric and systematic analysis of 40 English-language documents in Scopus. The search query combined “Green Energy,” “Sustainable Energy,” “Renewable Energy,” “Smart Automation,” and “Intelligent Automation.” Tools such as Bibliometric (R package) and VOSviewer were used to visualise networks and patterns, while Python and NLP techniques were used to extract insights.The key findings highlight the intersection of AI-driven automation, renewable energy, and Industry 4.0, with notable advancements in smart grids, IoT-based energy management, and blockchain frameworks. However, gaps persist in policy, cross-sector collaboration and large-scale implementation. This study offers a roadmap for integrating automation with renewable energy to enhance sustainability and efficiency, thereby aiding environmental preservation and energy transition.
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