PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications
Abstract The current cost that energy represents is crucial in a field like climate control which has high energy demands, therefore its reduction must be prioritized. The expansion of ICT and IoT come with an extensive deployment of sensors and computation infrastructure creating an opportunity to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02023-3 |
| _version_ | 1797865595675344896 |
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| author | Antonio Martínez Ibarra Aurora González-Vidal Antonio Skarmeta |
| author_facet | Antonio Martínez Ibarra Aurora González-Vidal Antonio Skarmeta |
| author_sort | Antonio Martínez Ibarra |
| collection | DOAJ |
| description | Abstract The current cost that energy represents is crucial in a field like climate control which has high energy demands, therefore its reduction must be prioritized. The expansion of ICT and IoT come with an extensive deployment of sensors and computation infrastructure creating an opportunity to analyze and optimize energy management. Data on building internal and external conditions is essential for developing efficient control strategies in order to minimize energy consumption while maintaining users’ comfort inside. We here present a dataset that provides key features that could be useful for a wide range of applications in the context of modeling temperature and consumption via Artificial Intelligence algorithms. The data gathering has taken place for almost 1 year in the Pleiades building of the University of Murcia, which is a pilot building of the European project PHOENIX aiming to improve building energy efficiency. |
| first_indexed | 2024-04-09T23:10:37Z |
| format | Article |
| id | doaj.art-3d086d5204bd45f9b63026662b2eb178 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-04-09T23:10:37Z |
| publishDate | 2023-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-3d086d5204bd45f9b63026662b2eb1782023-03-22T10:23:33ZengNature PortfolioScientific Data2052-44632023-03-0110111210.1038/s41597-023-02023-3PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applicationsAntonio Martínez Ibarra0Aurora González-Vidal1Antonio Skarmeta2Department of Information and Communication Engineering, University of MurciaDepartment of Information and Communication Engineering, University of MurciaDepartment of Information and Communication Engineering, University of MurciaAbstract The current cost that energy represents is crucial in a field like climate control which has high energy demands, therefore its reduction must be prioritized. The expansion of ICT and IoT come with an extensive deployment of sensors and computation infrastructure creating an opportunity to analyze and optimize energy management. Data on building internal and external conditions is essential for developing efficient control strategies in order to minimize energy consumption while maintaining users’ comfort inside. We here present a dataset that provides key features that could be useful for a wide range of applications in the context of modeling temperature and consumption via Artificial Intelligence algorithms. The data gathering has taken place for almost 1 year in the Pleiades building of the University of Murcia, which is a pilot building of the European project PHOENIX aiming to improve building energy efficiency.https://doi.org/10.1038/s41597-023-02023-3 |
| spellingShingle | Antonio Martínez Ibarra Aurora González-Vidal Antonio Skarmeta PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications Scientific Data |
| title | PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications |
| title_full | PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications |
| title_fullStr | PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications |
| title_full_unstemmed | PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications |
| title_short | PLEIAData: consumption, HVAC, temperature, weather and motion sensor data for smart buildings applications |
| title_sort | pleiadata consumption hvac temperature weather and motion sensor data for smart buildings applications |
| url | https://doi.org/10.1038/s41597-023-02023-3 |
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