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2026 Vol.20, Issue 3 Preview Page

Research Article

Bibliometric Analysis in Microgrids using Text Mining and Topic Modeling: Focusing on Renewable Energy Integration and Sector Coupling

텍스트 마이닝 및 토픽 모델링을 활용한 마이크로그리드 연구 동향 분석: 재생에너지 통합과 섹터 커플링을 중심으로

Min-Kyoung Bok1
,
Young-Hak Song2*
복 민경1
,
송 영학2*
1Graduate Student, Department of Architectural Engineering, Graduate School, Gyeongsang National University, Jinju, Korea
2Professor, Department of Architectural Engineering, ERI, Gyeongsang National University, Jinju, Korea
1경상국립대학교 건축공학과 대학원 석사과정
2경상국립대학교 건축공학과 교수
*Corresponding Author
30 June 2026. pp. 169-180
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Abstract

This review study quantitatively analyzes academic trends and examines the technological evolution of microgrids, which are expanding rapidly due to the global energy transition. To ensure academic reliability, 206 SCIE-indexed publications from the past 18 years (2008–2025) were analyzed using Natural Language Processing(NLP)-based text mining and LDA Topic modeling. The analysis reveals that the fundamental basis of microgrid research lies in energy management systems and optimization algorithms. In particular, robust optimization for managing the uncertainty of renewable energy accounts for the largest share of the literature. Furthermore, the paradigm of flexibility resources is shifting from stationary facilities to electric vehicles and demand response. The study also demonstrates that sector coupling, integrating electrical and thermal energy, is establishing an independent research domain centered on distributed control. Notably, the intertopic distance analysis identifies a research gap between deterministic grid control and market-based economic mechanisms, suggesting a lack of integrated real-time optimization frameworks. The findings imply that microgrids are evolving into intelligent platforms that integrate multi-source energy and mobile resources. This study provides a strategic basis for future research aimed at ensuring the interoperability, reliability, and economic viability of next-generation microgrid systems.

Keywords
Microgrids
Text mining
LDA Topic modeling
Sector coupling
Robust optimization
Energy management system
키워드
마이크로그리드
텍스트 마이닝
LDA 토픽 모델링
섹터 커플링
강건 최적화
에너지 관리 시스템
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Information
  • Publisher :Korean Institute of Architectural Sustainable Environment and Building Systems
  • Publisher(Ko) :한국건축친환경설비학회
  • Journal Title :Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
  • Journal Title(Ko) :한국건축친환경설비학회논문집
  • Volume : 20
  • No :3
  • Pages :169-180
  • Received Date : 2026-03-31
  • Revised Date : 2026-05-28
  • Accepted Date : 2026-05-28
  • DOI :https://doi.org/10.22696/jkiaebs.20260015
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