Augmented Smart Home with Weather Information

This dataset builds upon the publicly available work by Taranvee, who collected household energy consumption data at one-minute resolution from a smart meter monitoring multiple appliances (e.g., dishwasher, home office, fridge, kitchen). The original release also includes regional weather information (humidity, temperature, atmospheric pressure, etc.), providing a rich contextual layer for understanding how environmental factors influence residential power usage.

In this augmented version, we introduce additional consumption columns representing distinct IoT devices, Car charger,Water heater,Air conditioning,Home Theater,Outdoor lights,microwave,Laundry,Pool Pump

Each of these new columns tracks an appliance's energy usage in kilowatts ([kW]), effectively broadening the dataset’s scope for modeling complex, multi-device scenarios within a single smart home

Original work: https://www.kaggle.com/datasets/taranvee/smart-home-dataset-with-weather-information

本数据集基于Taranvee公开的研究工作构建，该研究通过智能电表采集了涵盖多类家用电器（如洗碗机、家庭办公设备、冰箱、厨房电器等）的一分钟分辨率家用能耗数据。原始发布的数据集还包含区域气象信息（湿度、温度、大气压强等），为解析环境因素对居民用电行为的影响提供了丰富的上下文支撑。

在此增强版本中，我们新增了代表不同物联网（Internet of Things）设备的能耗列，涵盖电动汽车充电器、热水器、空调、家庭影院、户外照明、微波炉、洗衣设备与泳池泵。每一列新增数据均以千瓦（kW）为单位记录对应电器的能耗，有效拓展了本数据集的应用边界，可用于建模单个智能家居内复杂的多设备用电场景。

原始研究链接：https://www.kaggle.com/datasets/taranvee/smart-home-dataset-with-weather-information