Artificial Intelligence Applications in Thermal Power Plant Boiler Optimisation: Bibliometric and Topic Modelling Dataset (2014–2025)

This dataset contains 322 Scopus-indexed publications on artificial intelligence applications in thermal power plant boilers and related thermal and energy-system applications, covering English-language journal articles and reviews published between 2014 and 2025. It supports the bibliometric and topic-modelling analysis reported in the associated study. The dataset includes raw bibliographic records, processed text, a document–term matrix, LDA outputs, topic-model evaluation results, temporal topic distributions, topic-stability results, and supporting bibliometric data. The selected seven-topic model includes document–topic probabilities, topic–term probabilities, topic labels, top terms, document topic assignments, and annual topic probabilities. The data can be used to reproduce the reported analysis, examine publication and collaboration patterns, investigate thematic development over time, and conduct further bibliometric or topic-modelling studies. Files are provided mainly in CSV format, with fitted R models supplied as RDS files