Hourly Energy Consumption Data for a Commercial Building
Catalog Summary
"A real-world, hourly dataset of electricity, heating, and cooling consumption for a commercial building, ideal for benchmarking and building energy model calibration."
Catalog Notes
This dataset provides granular, sub-metered energy data crucial for developing and testing algorithms in building energy management systems (BEMS) and for academic research in energy efficiency.
Dataset Composition:
- Metering: Hourly readings for whole-building electricity, as well as breakdowns for lighting, HVAC, and plug loads. Includes heating and cooling energy (in kWh) from the central plant.
- Contextual Data: Often paired with concurrent hourly weather data (temperature, humidity) to understand driving factors.
- Application: Extensively used for benchmarking energy use intensity (EUI), calibrating and validating simulation models, and developing predictive control strategies for HVAC systems.
- Use Case for IoT/AI: Represents the exact type of data stream generated by modern IoT-based building management systems. Ideal for training machine learning models for fault detection, demand forecasting, and load shedding.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on Kaggle.
Preview on KaggleCite This Dataset
ASHRAE, & others (2019). Great Energy Predictor III: Building Energy Usage Data. [Dataset]. ASHRAE. https://www.ashrae.org/
Source metadata: ASHRAE (2019)
Indexed by IoTDataset.com on Feb 10, 2026
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