Technology Intelligence: Geothermal Energy

Abstract

The increasing demand of power energy need for sustainable energy sources has made geothermal energy a viable substitute. However, the creation of novel technologies is necessary for the efficient use of geothermal energy. In this study, therefore, it is essential to determine the current level of technology in this area and to examine the patterns and trends in technological development. The methodology used to go through patent data analysis, The research goal was to provide a comprehensive overview of geothermal energy technology currently available, as well as its future prospects. This study provides a novel method of mapping technology related to geothermal energy through the examination of patent data by implementing a generative probabilistic model of text mining such as Latent Dirichlet Allocation (LDA) and social network analysis to identify significant technology clusters and trace their evolutionary history. Analyzing cutting-edge topics that could push further advancements in geothermal energy technologies demonstrated the technology's unique position in the current context. The results also demonstrated how crucial it is to maintain these critical topics in order to support long-term technological advancement. Geothermal energy technology decision-makers can benefit from the information provided in this report to guide their strategic planning and investments.

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