Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112269 - 112269
Published: Nov. 5, 2024
Language: Английский
Published: Jan. 1, 2024
Policies to reduce dependence on fossil fuel consumption and increase the share of renewable energy are being pursued worldwide, in 2020, European Union highlighted hydrogen as a key priority achieve its decarbonisation goals. Base Bidirectional Encoder Representations from Transformers (BERT), pre-trained transformer-based large language model, this study conducted patent text mining for natural gas utilisation generation technologies 2013 2022, which internationally registered patents. As result topic modelling, representation was created with c-TF-IDF that encapsulates all documents clusters or classes, 10 related topics trends were derived. Among topics, water reactor hydrogen-blended turbine found be increasing rapidly proportion recently, fact, these most actively developed 2023. Therefore, based results analysis technologies, demonstrates applying models traditional methodologies focuses technology segmentation modelling can used predict future innovative also suggests direction research prediction.
Language: Английский
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Published: Jan. 1, 2024
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Language: Английский
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Emerald Publishing Limited eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 107 - 131
Published: Sept. 25, 2024
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Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112178 - 112178
Published: Oct. 10, 2024
Language: Английский
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Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112269 - 112269
Published: Nov. 5, 2024
Language: Английский
Citations
0