Abstract
"Energy usage monitoring of a smart house, including 20 sensors tracking temperature, humidity, and weather data for energy forecasting."
Description
This dataset focuses on the Energy Efficiency of smart houses. It records the energy use of appliances and lights, synchronized with climate sensor data.
Key Attributes:
- Appliances: Energy use in Wh.
- T_out / Rh_out: Outside temperature and humidity from the nearest weather station.
- Indoor Sensors: 9 pairs of Temp/Humidity sensors in different rooms.
- Visibility: Impact of sunlight on energy requirements.
Research Goal:
Predicting energy spikes and optimizing Smart Grid integration.
Source: Luis Candanedo, University of Mons.
📊 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 Home Energy: Appliance Power Consumption. [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 06, 2026
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