Household appliances’ load profile generation based on data-analytic device operation and resident activities

This study discloses a load profile dataset of major household appliances for load flexibility (LF) utilization in residential sectors. To generate the profiles, measured load consumption patterns of each appliance and residents’ time-use survey data are analysed. Representative appliances used during the customers’ daily activities are defined and their power consumption profiles during a single operation cycle are collected according to various scenarios. The entire dataset is available at one-second intervals for daily profiles of individual appliances. The dataset can be used in multiple ways to contribute to the economic and environmental impact estimation of LF application, such as market/rate design, customer targeting, and electricity system planning.

本研究公开了一套面向住宅领域负荷灵活性（Load Flexibility, LF）应用的主流家电负荷曲线数据集。为构建该类负荷曲线，本研究对单台家电的实测负荷消耗模式与居民时间使用调查数据展开了分析。研究明确了居民日常活动中典型使用的家电品类，并针对多种场景采集了单台家电单次运行周期内的功耗曲线数据。本数据集提供单台家电每日负荷曲线的全量采样数据，采样间隔为1秒。该数据集可通过多种应用路径，为负荷灵活性应用的经济与环境影响评估提供支撑，可应用于市场/费率设计、目标客户筛选以及电力系统规划等场景。

搜集汇总

背景与挑战

背景概述

该数据集提供了家用电器在负载灵活性利用方面的详细负载曲线数据，通过实测和调查数据生成，以1秒间隔记录每日曲线，可用于评估相关应用的经济和环境效益。