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Data on the interaction between thermal comfort and building control research
June Young Park1, Zoltan Nagy1
1Intelligent Environments Laboratory, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX, USA.
This study provides a data-driven literature review on thermal comfort and building control research. It details methods for reproducible literature surveys and analyzes keyword trends and citation networks to understand research interactions.
Area of Science:
- Building Science
- Environmental Engineering
- Information Science
Background:
- Bibliographic data on thermal comfort and building control research is essential for understanding field development.
- Existing literature reviews may not fully capture the dynamic interactions between these research areas.
- A systematic, data-driven approach is needed to analyze the evolution of thermal comfort and building control research.
Purpose of the Study:
- To present a bibliography dataset for thermal comfort and building control research.
- To provide instructions for a reproducible, data-driven literature survey method.
- To analyze historical developments, recent trends, and the citation network within this research domain.
Main Methods:
- Data-driven literature survey using specific search terms to download relevant bibliographic datasets.
- Analysis of keyword co-occurrences to identify historical developments and recent trends.
- Construction and analysis of a citation network to map research interactions.
Main Results:
- The dataset offers comprehensive bibliography information on thermal comfort and building control.
- Keyword co-occurrence analysis reveals key themes and shifts in research focus over time.
- The citation network illustrates the interconnectedness and influence between thermal comfort and building control research.
Conclusions:
- The data-driven approach facilitates a deeper understanding of the relationship between thermal comfort and building control research.
- This methodology enables researchers to conduct reproducible literature surveys and identify emerging trends.
- The findings contribute to a more informed perspective on the field's progression and interdisciplinary connections.
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