发表机构
LIRNEasia; National University of Singapore; Carnegie Mellon University（LIRNE亚洲; 新加坡国立大学; 卡内基梅隆大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文介绍斯里兰卡首个整合智能电表、账单和调查数据的住宅用电数据集RECON-SL，覆盖4,063户家庭，支持负荷预测与能源政策研究。
AI 中文摘要
本文介绍了斯里兰卡住宅用电数据集（RECON-SL），这是一个多源资源，整合了斯里兰卡兰卡电力公司（LECO）服务区域的公用事业记录、高频智能电表数据和家庭调查。该数据集记录了4,063户家庭的用电情况，收集时间为2022年10月至2025年1月，覆盖月度、6小时和15分钟间隔。月度计费周期数据覆盖所有家庭，而智能电表数据可用于1,438户家庭的子样本，提供细粒度的15分钟读数以及较粗的6小时记录。三轮调查补充了这些消费测量，收集了人口统计、住房、电器拥有量以及能源安全感知的信息。在其各组成部分中，该数据集包含超过5000万次电表读数和来自超过11,000次家庭访谈的详细调查回复。作为斯里兰卡首个此类数据集，也是全球少数将智能电表记录与纵向调查数据以这种规模关联的数据集之一，它为能源、机器学习和政策研究提供了独特资源，并记录了智能电表覆盖的已知缺口供用户参考。该数据集可支持多种应用，包括电力负荷预测、社会经济和行为能源研究、配电规划以及能源可负担性和公平性方面的政策分析。通过开放存储库提供访问，并附带文档和脚本以促进重用。
英文摘要
This article describes the Residential Electricity Consumption Dataset for Sri Lanka (RECON-SL), a multi-source resource that integrates utility records, high-frequency smart meter data, and household surveys from the service area of Lanka Electricity Company (LECO) in Sri Lanka. The dataset captures electricity use for 4,063 households, collected over the period October 2022 to January 2025, with coverage at monthly, 6-hour, and 15-minute intervals. Monthly billing-cycle data provide complete coverage across all households, while smart meter data are available for a subsample of 1,438 households, offering both fine-grained 15-minute readings and coarser 6-hour records. Three survey waves complement these consumption measures, collecting information on demographics, housing, appliance ownership, and perceptions of energy security. Across its components, the dataset includes more than 50 million meter readings and detailed survey responses from over 11,000 household interviews. As the first dataset of its kind in Sri Lanka, and among the few worldwide to link smart meter records with longitudinal survey data at this scale, it provides a unique resource for energy, machine learning and policy research, with known gaps in smart meter coverage documented for users. The dataset can support diverse applications, including electricity load forecasting, socio-economic and behavioral energy research, distribution planning, and policy analysis in energy affordability and equity. Access is provided through an open repository, with accompanying documentation and scripts to facilitate reuse.
