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，该系统搭载经验证的平台，可针对不同城市实现用水消耗量的实时监测。本系列数据集收录了来自智能水表的各类用水消耗量记录，以升为单位统计不同用户的总用水量，采样间隔为1小时，观测周期长达一年。本次研究通过数据清洗流程，从中随机选取了50名用户的用水记录，以一年的用户每日总用水量作为本次的训练数据集。在筛选数据集时，我们充分考量了多维度用水特征：涵盖日常活动用水、周末用水以及不同季节（尤其是夏季与冬季）的用水情况，均来自智慧城市场景下的个体用户视角。综合上述考量因素，研究人员可通过适配的预处理与分析方法对该数据集开展各类实验，以获得精准的实验结果。