SAMPLE Chameleon Technology | Gas Disaggregation Data | 26,000+ UK Households

The Household Gas Disaggregation dataset provides appliance-level insights into how households use gas across key categories such as heating, hot water, cooking, and other uses. Each record corresponds to a single household (user_id) and reports monthly gas consumption in kilowatt-hours (kWh), along with the percentage contribution of each category to total household gas usage.

Currently, the dataset covers 26,000+ households, with coverage expanding monthly as new data becomes available. This growing dataset enables comprehensive analysis of domestic gas consumption patterns and appliance-level energy use.

Key attributes include:

1. user_id: Unique anonymised household identifier (can be linked with other datasets).
2. created_at: Timestamp for record creation.
3. id: Unique record identifier.
4. period_type & period: Aggregation period (e.g., month) and corresponding date.
5. type: Fuel type (gas).
6. category: End-use category ( heating, hot water, cooking, other.)
7. energy (kWh): Absolute gas consumption for each category.
8. percentage (%): Proportion of total household gas usage represented by each category (sums to 100% per household).

Ideal for:
- Energy analysis: Understand household gas consumption patterns at the category level.
- Demand forecasting: Support predictive models for heating and hot water demand.
- Energy efficiency & decarbonisation research: Identify opportunities for reducing gas consumption and improving building performance.
- Behavioural insights: Explore how different households allocate gas use between heating, hot water, and cooking.
- Segmentation & policy design: Profile households based on gas use intensity or category distribution.
- All data is anonymised to protect household privacy while offering high-value analytical insights.

When linked with other datasets, such as Household Profiles, Property Characteristics, or Half-Hourly Gas Consumption, it supports a wide range of applications in energy analytics, policy design, and data-driven innovation.