Abstract
"Multi-sensor data from a smart office building tracking energy consumption, CO2 levels, and occupancy to optimize HVAC systems."
Description
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 External
Cite This Dataset
External (2026). Smart Building Energy & Air Quality (Digital Twin). [Dataset]. External. https://archive.ics.uci.edu/static/public/374/appliances+energy+prediction.zip
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 07, 2026
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