Metadata for the CU-BEMS dataset, which contains smart building electricity consumption and indoor environmental sensor readings. The dataset includes both human-readable and machine-readable metadata files. It was curated by the Scientific Data Curation Team and is available under an Open Access license.
Use Cases
- Model building energy consumption patterns based on electricity usage data.
- Analyze correlations between indoor environmental conditions and energy use based on sensor data.
- Develop anomaly detection systems for building operations using the described sensor datasets.
- Benchmark energy efficiency algorithms using the described smart building data.
Strengths
- Includes both human-readable (CSV) and machine-readable (JSON) metadata formats.
- Data originates from a scientific curation team, suggesting a structured collection process.
- Available under an Open Access license, facilitating reuse.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count, file size, and column definitions are unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- Scientific Data Curation Team
- Collection Method
- Likely collected from sensor networks in smart buildings.