Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112269 - 112269
Published: Nov. 5, 2024
Language: Английский
Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112269 - 112269
Published: Nov. 5, 2024
Language: Английский
Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115676 - 115676
Published: April 1, 2025
Language: Английский
Citations
0Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123707 - 123707
Published: June 21, 2024
Language: Английский
Citations
3Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 96, P. 110446 - 110446
Published: Aug. 12, 2024
Language: Английский
Citations
2Deleted Journal, Journal Year: 2024, Volume and Issue: 1(3), P. 100031 - 100031
Published: Aug. 27, 2024
Language: Английский
Citations
2Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8032 - 8032
Published: Sept. 13, 2024
The integration of smart buildings (SBs) into cities (SCs) is critical to urban development, with the potential improve SCs’ performance. Artificial intelligence (AI) applications have emerged as a promising tool enhance SB and SC development. authors apply an AI-based methodology, particularly Large Language Models OpenAI ChatGPT-3 Google Bard AI experts, uniquely evaluate 26 criteria that represent services across five infrastructure domains (energy, mobility, water, waste management, security), emphasizing their contributions quantifying impact on efficiency, resilience, environmental sustainability SC. framework was then validated through two rounds Delphi method, leveraging human expert knowledge iterative consensus-building process. framework’s efficiency in analyzing complicated information generating important insights demonstrated via case studies. These findings contribute deeper understanding effects domains, highlighting intricate nature SC, well revealing areas require further realize performance objectives.
Language: Английский
Citations
2Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111146 - 111146
Published: Oct. 1, 2024
Language: Английский
Citations
1Automation in Construction, Journal Year: 2024, Volume and Issue: 170, P. 105949 - 105949
Published: Dec. 24, 2024
Language: Английский
Citations
1Published: 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
Citations
1Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133644 - 133644
Published: Oct. 1, 2024
Language: Английский
Citations
1Asian Journal of Civil Engineering, Journal Year: 2023, Volume and Issue: 25(3), P. 2653 - 2663
Published: Dec. 15, 2023
Language: Английский
Citations
2