Annie Vanrenterghem, PhD, infraPLAN CEO will present two papers at WIC, Philadelphia on Sept. 11 and 12.

Annie is a leading expert in the formulation and use of advanced analytics to predict water main breaks, and to develop optimal R&R plans. In these two presentations Annie will describe how machine learning-generated LOF scores can be used beyond typical short-term prioritization for long-term planning (MON15). We will also show how various tools can be combined to meet visualization and advanced analytical planning objectives (TUE02).

Water main break predictions:how good old statistics still help in the age of AI

Thursday, August 29- 9:00 AM - “Water main break predictions: how good old statistics still help in the age of AI”

This presentation demonstrates how simple but rigorous descriptive statistics can bring transparency to AI-generated results, and, ultimately, assist all the stakeholders that apply or use LOF when making costly R&R decisions.

Descriptive statistics provide a snapshot of the physical condition of the distribution system over time; which factors contribute to its degradation; they also help evaluate the performance of the past replacement decisions.

Using Analytics to Predict Water Main Breaks

Tuesday, September 10, 2024, 4:00 pm, "Using Analytics to Predict Water Main Breaks for a Decade at Columbus DOW: Cost and Benefit of Switching to Machine Learning"

This presentation discusses the benefits drawn by the city of Columbus, OH, after a decade applying an advanced statistical model. We also evaluate the cost and benefit of switching to machine learning in terms of:

• Ease of use

• Break prediction performance

• Capacity to provide planning answers



Annie Vanrenterghem is a leading expert in the formulation and use of analytics to predict water main breaks, and in the development of optimal R&R