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.

搜集汇总

背景与挑战

背景概述

该数据集包含超过26,000个英国家庭的月度燃气分解数据，按供暖、热水、烹饪等类别提供能耗（千瓦时）及占比，数据每月更新。它支持能源消费模式分析、需求预测、能效研究及政策设计，且所有数据均经过匿名化处理，可与家庭档案等其他数据集关联以扩展应用。