Examples of AI use in water operations.

Upload the flow excel file

User: plot the attached data.

ChatGPT: Here is the plot of the flow data over time based on the provided dataset.

User: fill in the missing flow data based on the daily pattern, plot again, and indicate the filled in data using red color

ChatGPT: Here is the updated plot showing the flow data over time, with missing values filled based on the daily pattern.

• Validation of results in Excel.

Upload the pipes and junctions files

User: Open the zip files and examine the files.

ChatGPT: the contents of the zip files are as follows: ...These files are components of shapefiles typically used in geographic information systems (GIS) for mapping and spatial analysis. Would you like to explore the data within these files further? ​.

User: Plot the water pipes and junctions.

ChatGPT: Here is the plot showing the water pipes and junctions. The blue lines represent the pipes, and the red dots represent the junctions.

Upload the meters file

User: This is a water meters layer. Load the file and add the meters to the plot.

ChatGPT: Here is the updated plot, now including the water meters. The green "x" markers represent the meters, alongside the blue pipes and red junctions.

User: I want to associate each meter with the closest junction. Plot a gray line connecting the meters with their associated junction.

ChatGPT: The plot now includes gray lines connecting each water meter to its closest junction.

User: I want to associate each meter with its closest pipe. Add a line perpendicular to the pipe.

ChatGPT: The plot now includes gray lines connecting each water meter to its closest pipe with a perpendicular connection.

User: Save a file with the closest junction and pipe for each meter.

ChatGPT: The associations between meters, closest junctions, and closest pipes have been saved to a CSV file. You can download it using the link below:

meter_associations.csv

• Steps to validate the results in ArcGIS.

Upload the consumers data

User: Load and describe the data.

ChatGPT: The data from the sheet "Demand May" consists of the following columns: ..​.

User: Sum over different meter numbers and plot the total demand over time.

ChatGPT: The plot above shows the total demand over time, summing the demand values across different meter numbers....

User: Show the mean demand profile for 24 hours for different days of the week.

ChatGPT: The plot illustrates the mean demand profile for 24 hours across different days of the week. Each line represents a day of the week, showing the average demand at each hour. ....

User: This data is from Ein Mahil is an Arab local council in Israel, it has a population of 13,931, the majority of which are Muslims. Can you explain the early peak on Friday?.

ChatGPT: The early peak in demand on Friday can be attributed to the cultural and religious practices of the Muslim community in Ein Mahil. For Muslims, Friday is considered a holy day, known as Jumu'ah. It involves special congregational prayers (Jumu'ah prayers) that take place around midday. ....

User: Make boxplot for different hours of the day, remove outlier.

ChatGPT: The box plot above shows the demand distribution for each hour of the day, with outliers removed. ....

User: Repeat and remove negative values.

ChatGPT: The box plot now shows the demand distribution for each hour of the day, with outliers and negative values removed ....

User: Make histogram of average daily demands of the users, remove outliers and negative values.

ChatGPT: The histogram now shows the distribution of average daily demands for users, with both outliers and negative values removed ....

User: Make boxplot of mean daily demand for top 10 users, remove negative values and outliers.

ChatGPT: The box plot displays the mean daily demand for the top 10 users, with outliers and negative values removed ....

• Validation of results in Excel.