CU-BEMS: Smart Building Electricity and Environmental Sensor Data from Bangkok

18 months of one-minute interval data from July 1, 2018, to December 31, 2019, for a seven-story office building in Bangkok, Thailand. 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 energy consumption based on detailed, zoned electricity load data.
• Modeling the relationship between indoor environmental conditions (temperature, humidity, light) and energy use.
• Developing anomaly detection systems for HVAC or lighting faults using high-frequency sensor streams.
• Benchmarking energy efficiency algorithms using real-world data from a large (11,700 m²) commercial building.

Strengths

• Data is available at a high temporal resolution of one-minute intervals.
• Covers a substantial time period of 18 months, enabling seasonal analysis.
• Includes synchronized data streams for both energy consumption (kW) and environmental conditions across 33 distinct 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.
• Last update date is unknown; freshness unverified.

Provenance

Source

Manisa Pipattanasomporn

Collection Method

Likely collected via a Building Energy Management System (BEMS) from sensor networks.

Time Range

July 1, 2018 to December 31, 2019

Geography

Bangkok, Thailand