Towards energy-efficient indoor environment quality using artificial intelligence: A bibliometric analysis
With the increasing awareness of sustainability in the built environment, there is a pressing need to achieve a comfortable and healthy indoor environment with optimized energy consumption. In this context, artificial intelligence (AI) has shown its potential as a tool for energy optimization while...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2024
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| Online Access: | http://eprints.utem.edu.my/id/eprint/29135/1/Towards%20Energy-Efficient%20Indoor%20Environment%20Quality%20using%20Artificial%20Intelligence_%20A%20Bibliometric%20Analysis.pdf http://eprints.utem.edu.my/id/eprint/29135/ https://ieeexplore.ieee.org/document/10857153/ |
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| Summary: | With the increasing awareness of sustainability in the built environment, there is a pressing need to achieve a comfortable and healthy indoor environment with optimized energy consumption. In this context, artificial intelligence (AI) has shown its potential as a tool for energy optimization while upholding high IEQ standards. This research paper explores the current and future research trends in utilizing AI to achieve an energy-efficient indoor environment quality (IEQ). Bibliometric analysis is used as a methodology to identify key research themes and the thematic evolution of a research field. Based on a carefully formulated search term, a case study is performed using bibliometric data downloaded from the SCOPUS database. Upon data pre-processing steps, the research evolution of the field is presented visually using strategic mapping and thematic evolution networks over the years 2018-2023, with discovered insights discussed. Finally, some discussion on future works is given based on key insights. |
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