Water Demand Analysis

Background

Exbyte Team collaborates with water utilities to perform advanced data analysis that provides insight on water demand. The work aims to improve water utilities’ understanding of customer water use patterns and forecasting of customer water con-sumption in the future.

Technologies

Exbyte Team uses the data-driven machine learning approaches to investigating the challenge of the water demand forecast-ing.

• Dynamic customer segmentation: each customer’s membership over the segments is allowed to change over time in response to its consumption behaviour changes.
• Soft-membership: each customer can be assigned to all the segments in proportion.
• Time series analysis and potential applications for climate correction.

Outcomes

The work provides water utilities with valuable insight into water use pattern and more reliable water demand forecasting.

• Improve water utilities’ understanding of customer water use patterns and demand drivers.
• Better understand water use pattern change following the lifting of restrictions and the potential for demand bounce back in the future.
• Conduct customer segmentation for water demand analysis based on historical consumption behaviours
• Improve water demand forecasting through machine learning techniques.