Trend Summary by SCOPUS Literature Analysis on Machine Learning Assisted BIPV Research

With the accelerated development of science and technology across fields, publications in almost all fields have increased exponentially every year. According to Scopus search, number papers related buildings solar energy that used machine learning has grown at an average annual rate 16.1%, exceeding 3000 since 2019. Review been published consistently 2010, demonstrating they are on a trajectory initial growth. Because there is limit reading analyzing large quantities year, we developed methodology reads, analyzes, visualizes literature information. In this method, provide query database retrieve data then visualize by journal, keyword along with other analyses results. The relationship frequency results can also be shown among words titles, keywords, abstracts. Analysis research building-integrated photovoltaics yielded result publishing Energy Buildings (impact factor [IF] 4.067, modified rank normalized impact [mrnIF] top 1.7%) Solar (IF 4.018, mrnIF active. Over past 10 years, approximately 1–1.5% learning-related published, gradual increase.