REFIT

该数据集名为REFIT，包含了来自多个家庭的能源使用数据，涵盖多种家用电器。该数据集主要用于非侵入式负载监测（NILM）任务，即从总的能源消耗测量中分离出单个家电的能耗水平。数据集中包含了洗碗机、洗衣机、冰箱、水壶和烤面包机等多种家电的测量数据。通常，这些数据会被分为训练集和测试集，以便进行模型验证。该任务的具体内容为非侵入式负载监测（NILM）。

The dataset is named REFIT, which contains energy consumption data from multiple households covering various household appliances. It is primarily designed for Non-Intrusive Load Monitoring (NILM) tasks, i.e., disaggregating the energy consumption levels of individual appliances from the total measured energy consumption. The dataset includes measured data from multiple appliances such as dishwashers, washing machines, refrigerators, kettles and toasters. Typically, these data are divided into training and test sets for model validation. The specific task of this dataset is Non-Intrusive Load Monitoring (NILM).

搜集汇总

背景与挑战

背景概述

REFIT数据集包含多个家庭的多种家电能源使用数据，专门用于非侵入式负载监测（NILM）任务，支持从总能耗中分离单个家电的能耗水平。数据分为训练集和测试集，便于模型验证。