Smart Building Energy & Air Quality (Digital Twin)
Catalog Summary
"Multi-sensor data from a smart office building tracking energy consumption, CO2 levels, and occupancy to optimize HVAC systems."
Catalog Notes
This dataset supports the creation of Digital Twins for urban infrastructure. It records environmental and power metrics every 10 minutes.
Sensor Parameters:
- CO2 Concentration: Measured in PPM for air quality control.
- Active Power: Real-time energy usage in kW.
- Luminosity: Light levels to automate smart shading.
- Occupancy: Binary sensor data for room usage.
Use Case:
Training AI to reduce energy waste in Net-Zero smart buildings.
Source: UCI Machine Learning Repository (ID: 374) - Open License.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Catalog Record
IoTDataset.com (2026). Smart Building Energy & Air Quality (Digital Twin) — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/smart-building-energy-co2-monitoring
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 07, 2026
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