CUBEMS: Smart Building Electricity and Environmental Sensor Data from Bangkok

18 months of one-minute interval data from a seven-story office building in Bangkok, Thailand, covering July 1, 2018, to December 31, 2019. The dataset includes electricity consumption for air conditioning, lighting, and plug loads across 33 zones, alongside temperature, humidity, and ambient light measurements. It was released by author Manisa Pipattanasomporn.

Use Cases

• Forecasting building electricity demand based on one-minute interval consumption data.
• Modeling the relationship between indoor temperature and air conditioning load across 33 zones.
• Analyzing patterns in plug load and lighting energy use for efficiency optimization.
• Studying the correlation between ambient light levels and lighting electricity consumption.

Strengths

• Data is available at a high temporal resolution of one-minute intervals.
• Covers a substantial time period of 18 months, from July 2018 to December 2019.
• Includes synchronized measurements for both energy consumption and three indoor environmental parameters across 33 zones.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data is from a single building in one geographic location, which may limit generalizability.

Provenance

Source

Manisa Pipattanasomporn

Collection Method

Likely collected from building sensors and meters.

Time Range

July 1, 2018 to December 31, 2019

Geography

Bangkok, Thailand