A multi-year campus-level smart meter database
Abstract With the growing need for precise campus electricity management, understanding load patterns is crucial for improving energy efficiency and optimizing energy use. However, detailed electricity load data for campus buildings and their internal equipment is often lacking, hindering research....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-11-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04106-1 |
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| _version_ | 1832594976472563712 |
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| author | Mingchen Li Zhe Wang Yao Qu Kin Ming Chui Marcus Leung-Shea |
| author_facet | Mingchen Li Zhe Wang Yao Qu Kin Ming Chui Marcus Leung-Shea |
| author_sort | Mingchen Li |
| collection | DOAJ |
| description | Abstract With the growing need for precise campus electricity management, understanding load patterns is crucial for improving energy efficiency and optimizing energy use. However, detailed electricity load data for campus buildings and their internal equipment is often lacking, hindering research. This paper introduces an energy consumption monitoring dataset from The Hong Kong University of Science and Technology (HKUST) campus in Hong Kong, comprising data from over 1400 meters across more than 20 buildings and collected over two and a half years. Using the Brick Schema curation strategy, raw data was curated into a research-ready format. This dataset supports various research tasks, including load pattern recognition, fault detection, demand response strategies, and load forecasting. |
| format | Article |
| id | doaj-art-6e9a991bb1ca4c73b7f31c383054cf38 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-6e9a991bb1ca4c73b7f31c383054cf382025-01-19T12:09:33ZengNature PortfolioScientific Data2052-44632024-11-0111111310.1038/s41597-024-04106-1A multi-year campus-level smart meter databaseMingchen Li0Zhe Wang1Yao Qu2Kin Ming Chui3Marcus Leung-Shea4Department of Civil and Environmental Engineering, The Hong Kong University of Science and TechnologyDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and TechnologyDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and TechnologyCampus Management Office, The Hong Kong University of Science and TechnologySustainability/Net-Zero Office, The Hong Kong University of Science and TechnologyAbstract With the growing need for precise campus electricity management, understanding load patterns is crucial for improving energy efficiency and optimizing energy use. However, detailed electricity load data for campus buildings and their internal equipment is often lacking, hindering research. This paper introduces an energy consumption monitoring dataset from The Hong Kong University of Science and Technology (HKUST) campus in Hong Kong, comprising data from over 1400 meters across more than 20 buildings and collected over two and a half years. Using the Brick Schema curation strategy, raw data was curated into a research-ready format. This dataset supports various research tasks, including load pattern recognition, fault detection, demand response strategies, and load forecasting.https://doi.org/10.1038/s41597-024-04106-1 |
| spellingShingle | Mingchen Li Zhe Wang Yao Qu Kin Ming Chui Marcus Leung-Shea A multi-year campus-level smart meter database Scientific Data |
| title | A multi-year campus-level smart meter database |
| title_full | A multi-year campus-level smart meter database |
| title_fullStr | A multi-year campus-level smart meter database |
| title_full_unstemmed | A multi-year campus-level smart meter database |
| title_short | A multi-year campus-level smart meter database |
| title_sort | multi year campus level smart meter database |
| url | https://doi.org/10.1038/s41597-024-04106-1 |
| work_keys_str_mv | AT mingchenli amultiyearcampuslevelsmartmeterdatabase AT zhewang amultiyearcampuslevelsmartmeterdatabase AT yaoqu amultiyearcampuslevelsmartmeterdatabase AT kinmingchui amultiyearcampuslevelsmartmeterdatabase AT marcusleungshea amultiyearcampuslevelsmartmeterdatabase AT mingchenli multiyearcampuslevelsmartmeterdatabase AT zhewang multiyearcampuslevelsmartmeterdatabase AT yaoqu multiyearcampuslevelsmartmeterdatabase AT kinmingchui multiyearcampuslevelsmartmeterdatabase AT marcusleungshea multiyearcampuslevelsmartmeterdatabase |