A BERTopic-Based Analysis of Energy Security Research: Evidence from Large-Scale Literature Mining

Engineering notes

Engineering notes will be added by the Power for Solar editorial team.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

Heraclitus’ phrase “everything flows and nothing remains” perfectly captures the modern era, as conditions are changing at high speed and scientific knowledge is growing exponentially. Academic fields that attract significant attention often experience rapid expansion, driven by the growing global pool of researchers, the increased accessibility of scientific publishing platforms, and the overall rise in scientific output. Literature concerning energy security, a topic as old as fire, has become vital to modern economies due to geopolitical upheaval, adapting traditional considerations to new realities, and the extensive body of literature serves as clear evidence of this fact. Thus, there is a clear need for innovative, scalable, and objective methodologies to systematically assess the existing body of knowledge and prioritize areas for further study. This paper proposes implementing a novel machine learning approach leveraging the BERTopic topic modeling algorithm to conduct a comprehensive and efficient exploratory analysis of energy security literature. The analysis is based on a bibliographic corpus extracted from the Scopus database covering the period 1999–2025, and identifies 14 distinct thematic clusters which indicate that energy security research is undergoing structural transformation, marked by strong emphasis on technology-specific renewable energy transitions, geographic concentration on China and Europe, and increasing integration with climate and sustainability frameworks. While contextual embedding improves semantic coherence, topic interpretation still requires expert validation as model performance is sensitive to hyperparameter configuration, potentially affecting topic stability and reproducibility.

Links and sources

• PDF from original source

Comments