How Does The Analytic Engine Work?
The analytic engine performs a regression analysis of the daily water usage and historic climate data. It uses proprietary engineering algorithms to construct a statistically valid model of seasonal usage and apportioned end-uses. The data sources for customer behavior, demographic and appliance data is obtained from the survey form completed by the customer.
Waterwatch© and Home Waterview® share this analytic engine.
Where Did the Water Bill Disaggregation Concept Originate?
Prior to Waterwatch©, Fiato and Lints created a very popular, residential energy bill disaggregation program for a company that is now a division of Honeywell. Energy bill analysis is widely accepted by electric and gas utilities as an education and conservation program. Several hundred thousand residential energy analyses are performed each year. The developers of Waterwatch© applied similar regression analysis methodology to water use. However, the Waterwatch© program employs proprietary algorithms and databases that a specific to household water usage.
How Does This Analytic Engine Assign Water Use Values?
The model is built upon two data sources. The first source is from tens of thousands of surveys conducted by Pencilbrook. The second source is a database comprised of water use studies conducted in the US over the past 25 years. The Waterwatch© development team gathered water/wastewater studies from a variety of sources including: universities, government, water industry trade and professional organizations and environmental groups. Where available, regional or local utility water use databases can be utilized to tailor the program results more closely to the water use patterns of a particular location.
How Accurate is the Customer Report Information?
The program will accurately model usage for most customers. Because it is designed for low cost and mass application, there will be some deviation on the high and low end of the scale. However, short of submetering and monitoring actual usage of a household, we believe there is no more accurate method to estimate end-use by individual households.