Water Consumption Dataset of Smart City Users

The dataset originally was taken from DAIAD, which has the mechanism to monitor the water consumption in real time using a validated platform for different cities. These datasets had the record of different water consumption values taken from the smart water meters that indicates, total water consumption by different users in Litres with the time interval of one hour for a year.Out of which we have selected 50 random user's records here by the process of data cleaning, where this data would hold total water consumption by users on daily basis for a year acting as our training dataset. While choosing the dataset we have kept in mind regarding the water usage that has different criterions like water usage for the day-to-day activities, weekend’s and in different seasons, especially during the summer and winter from an individual perspective on a smart city.With all these factors taken into consideration one could carry out any experiment on these datasets by following suitable pre-processing and analysis methods to get accurate results.

该数据集最初源自DAIAD，该平台具备实时监控不同城市水消耗的机制。这些数据集记录了来自智能水表的不同水消耗值，以升为单位，展示了不同用户一年的总用水量，时间间隔为每小时一次。通过数据清洗过程，我们从中随机选取了50个用户的记录，这些数据代表了用户一年内的每日总用水量，作为我们的训练数据集。在选取数据集时，我们充分考虑了不同标准下的用水情况，如日常活动用水、周末用水以及不同季节的用水，特别是在夏季和冬季的个人智能城市用水视角。综合考虑这些因素，研究人员可通过采用适当的预处理和分析方法，对数据进行实验，以获得精确的结果。