A BIBLIOMETRIC ANALYSIS ON SMART ENERGY INTEGRATION AND SYNERGISTIC OPTIMIZATION OF RENEWABLE AND ENERGY STORAGE SYSTEMS

Abstract

This study explores the integration of renewable energy sources with energy storage systems to create sustainable and reliable energy solutions. The need for such integration is due to the finite nature of fossil fuels and the environmental impact of their use with the potential of renewable technologies like solar, wind, hydroelectric, and biomass to provide cleaner alternatives. Smart energy systems, which combine renewable energy with advanced storage technologies to enhance efficiency, reliability, and sustainability comes with challenges posed by the variability of renewable energy sources and how energy storage can mitigate these issues by storing excess energy during peak production periods for use during low production times. The research involves a bibliometric analysis using RStudio's bibliometrix package to analyze trends, collaborations, and thematic evolution in the field from 2019 to 2024 with the scope limited to academic publications in scholarly databases, focusing on identifying key contributors, institutions, and countries involved in the research. The analysis reveals increasing research interest in smart energy integration and synergistic optimization, with key trends from topics like cybersecurity, low carbon, smart energy meters, and renewable energy systems. The analysis also identifies the emerging areas such as artificial neural networks, cloud computing, and distributed energy storage.