SAMPLE Household Heat Transfer Coefficient (HTC) Data | UK Coverage

This dataset provides detailed insights into the thermal performance of more than 4,400 UK households, measured through Heat Transfer Coefficient (HTC) values — a key indicator of how efficiently a property retains heat.

Each record includes:
1. user_id: Unique anonymised household identifier.
2. Htc: Measured Heat Transfer Coefficient value representing total heat loss through the building envelope.
3. NormalisedHtc: HTC value normalised against total floor area (HTC / total floor area), allowing fair comparison between properties of different sizes.
4. HTC Banding: Performance classification — Excellent, Good, Needs Improvement, Bad, or Very Bad.

These metrics provide valuable insights into the energy efficiency of homes and their thermal characteristics, supporting applications in:
- Energy efficiency benchmarking and property performance comparisons
- Retrofit targeting and building fabric improvement studies
- Academic and commercial research into building performance and energy demand
- Smart home modelling, energy optimisation, and sustainability analytics

The dataset is fully anonymised and GDPR-compliant, with values derived from real household data collected through Chameleon Technology’s smart home ecosystem. It can be cross-linked with other Chameleon datasets (such as household profiles, EPC ratings, and consumption data) for deeper analysis of building performance and occupant behaviour.

The number of available households is growing monthly, providing an expanding foundation for longitudinal and comparative studies on home heat efficiency across the UK.

本数据集通过传热系数（Heat Transfer Coefficient, HTC）值，对超过4400户英国家庭的热性能展开详细解析——传热系数是衡量住宅保温效率的核心指标。

每条记录包含以下字段：
1. 用户ID（user_id）：唯一的匿名化家庭标识符
2. 传热系数值（Htc）：经实测得到的传热系数，代表建筑围护结构的总热损失量
3. 归一化传热系数（NormalisedHtc）：以住宅总建筑面积为基准归一化后的传热系数（HTC / 总建筑面积），可实现不同规模住宅间的公平性能对比
4. 传热系数分级（HTC Banding）：性能分类等级，分为优秀、良好、待改进、较差、极差五类

上述指标可有效反映住宅的能源效率与热特性，适用于以下应用场景：
- 能源效率基准测试与住宅性能对比
- 节能改造目标定位与建筑围护结构优化研究
- 建筑性能与能源需求相关的学术及商业研究
- 智能家居建模、能源优化与可持续性分析

本数据集已完成完全匿名化处理，符合《通用数据保护条例》（GDPR）要求，其数据源自变色龙科技（Chameleon Technology）智能家居生态系统采集的真实家庭数据。该数据集可与其他变色龙科技数据集（如家庭档案、能源性能证书（Energy Performance Certificate, EPC）评级及能耗数据）进行跨数据集关联，以开展建筑性能与居住者行为的深度分析。

可用家庭样本量每月持续增长，可为全英范围内的住宅热效率纵向研究与对比研究提供不断扩充的支撑基础。