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Dataset of IoT-Based Energy and Environmental Parameters in a Smart Building Infrastructure

Smart Home & Buildings Smart Home
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Catalog Summary

"Smart-building dataset from the M5 building, including appliance-level energy usage (watts, voltage, kWh) plus temperature, humidity, and occupancy measurements in offices, labs, kitchen, and other spaces.[web:164][web:167][web:170]"

Catalog Notes

Overview

This Dataset of IoT-Based Energy and Environmental Parameters in a Smart Building Infrastructure was collected as part of a smart campus initiative and covers energy use and environmental conditions in the M5 building of the University of Sharjah.[web:164][web:167][web:170]

Data Collection

  • IoT sensors were deployed throughout the building, including energy meters on appliances (e.g., coffee machine, microwave, fridge) and environmental/occupancy sensors in key areas such as labs, kitchen, and mail room.[web:164][web:170]
  • Data were recorded from January 1, 2024, to June 20, 2024, capturing typical operational behavior of offices, labs, and communal spaces.[web:167][web:170]
  • The dataset includes both raw high‑resolution time series stored and aggregated (e.g., via InfluxDB) and derived representations such as Markov Transition Field (MTF) images for deep learning.[web:167][web:170]

Variables

  • Appliance‑specific power data in watts, voltage, and kWh for multiple devices, enabling device‑level load analysis.[web:167][web:170]
  • Environmental parameters such as temperature and humidity in different zones of the building.[web:164][web:167][web:170]
  • Occupancy rates per monitored area, supporting the study of how human presence affects energy use and indoor climate.[web:167][web:170]

Use Cases

  • Research on smart building energy management, including demand forecasting and efficiency optimization.[web:164][web:167][web:170]
  • Modeling the relationship between occupancy, environmental conditions, and appliance loads for intelligent HVAC and control strategies.[web:167][web:170]
  • Developing deep learning and transfer learning approaches using both raw time series and MTF image representations.[web:167][web:170]

License

The dataset is described in an open‑access data article and released via an accompanying GitHub repository; users should consult the article and repository for the explicit license terms and required acknowledgements before reuse.[web:164][web:167][web:170]

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.

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Cite This Dataset

The dataset creators ask users of this dataset to cite the accompanying paper. Use one of the verified formats below. 

Oulefki, A., Amira, A., Kurugollu, F., & Soudan, B. (2024). Dataset of IoT-based energy and environmental parameters in a smart building infrastructure. Data in Brief, 56, 110769. https://doi.org/10.1016/j.dib.2024.110769

Source metadata: Elsevier (2024) · DOI: 10.1016/j.dib.2024.110769

Indexed by IoTDataset.com on Jan 28, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

#smart building #energy #environment #occupancy #IoT #smart campus #time series #Markov Transition Field
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