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Real-World and Simulated Smart Home Data: 14-Day Logging Dataset
- Citation Author(s):
-
DenisBoaventura
Federal University of BahiaMaykiOliveiraFederal University of Bahia - Submitted by:
- Denis Boaventura
- Last updated:
- Fri, 12/27/2024 - 11:28
- DOI:
- 10.21227/qrq9-8469
- Data Format:
- License:
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Abstract
This ZIP file contains two distinct datasets collected over a 14-day period. The first dataset consists of real-world smart home data, providing detailed logs from six devices: a Plug Fan, Plug PC, Humidity Sensor, Presence Sensor, Light Bulb, and Window Opening Sensor. The data includes device interactions and environmental conditions such as temperature, humidity, and presence. The second dataset is generated by a smart home simulator for the same period, offering simulated device interactions and environmental variables. These datasets offer valuable insights for research and development in the smart home field, including device behavior analysis, energy consumption modeling, and environmental monitoring.
The ZIP file contains two distinct datasets, both collected over a 14-day period, that can be used for smart home data analysis. The first dataset is in JSON format and contains real-world data recorded from six devices: Plug Fan, Plug PC, Humidity Sensor, Presence Sensor, Light Bulb, and Window Opening Sensor. The second dataset is in CSV format and contains simulated data generated by the HESTIA smart home simulator, with records from four devices: Presence Sensor, Light Bulb, Plug PC, and Plug Fan. To use both, simply unzip the file, and the data will be ready for analysis, including information on the device states and environmental conditions during the collection period.
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