Hourly Energy Consumption Data for a Commercial Building
Abstract
"A real-world, hourly dataset of electricity, heating, and cooling consumption for a commercial building, ideal for benchmarking and building energy model calibration."
Description
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 Kaggle
Cite This Dataset
ASHRAE, & others (2019). Hourly Energy Consumption Data for a Commercial Building. [Dataset]. ASHRAE. https://www.ashrae.org/
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Original source: ASHRAE (2019). Visit official page for more details.
Indexed by IoTDataset.com on Feb 10, 2026
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