Water Consumption Dataset of Smart City Users

Citation Author(s):
Jamuna
C J
BMS College of Engineering
Ranganath Ashok
Kumar
BMS College of Engineering
Submitted by:
Jamuna C J
Last updated:
Tue, 01/04/2022 - 08:57
DOI:
10.21227/ejpw-mb86
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Abstract 

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.

Instructions: 

The dataset records, total water consumption in terms of Litres from the smart water meters present in each house/flat that different users consumes in a smart city for every day in a year.

Each training datasets has 365(not considering a leap-year) records of water consumption values of a user.

The clustering dataset is formed by grouping training datasets having similar water usage (this was carried out using the clustering algorithm).

The testing dataset again has the water consumption values of different users taken at random (other than training dataset having 365 values) for a year (could be used to process against clustering or the training dataset using machine learning or neural network algorithms as per the requirement to perform the analysis).

Comments

Water Consumption value taken from a Smart Water Meter

Submitted by Jamuna C J on Thu, 12/16/2021 - 11:27

Water

Submitted by Meyyappan Sanka... on Thu, 02/08/2024 - 07:55

water consumption

Submitted by yong dong on Wed, 01/05/2022 - 22:52

w

Submitted by Thalita Alves on Sun, 01/09/2022 - 14:11

water

Submitted by Vishal Kanojia on Wed, 02/23/2022 - 08:14

Water

Submitted by Netaji Boppana on Wed, 05/18/2022 - 03:27

water

Submitted by Ashraf Ali on Sun, 01/22/2023 - 02:02

Water

Submitted by Michael Caballes on Fri, 03/29/2024 - 06:49