Demand Forecasting

This tag is associated with 3 posts

Forecasting Water Demands: Part III

WaterFront Followers, Let us briefly review what we learned from Part 2 based on the work of John Cook and Edwin Roehl of ADMI. It is well known that the most common empirical approach to demand forecasting is ordinary least squares (OLS), which relates variables using straight lines. Now, over long time periods, this can … Continue reading

Forecasting Water Demands: Part II

In Part I of this series by John Cook and Edwin Roehl of ADMI we learned that sensitivity analysis quantifies the relationships between a dependent variable of interest and causal variables, e.g., we know demand is somehow dependent on ambient temperature and precipitation. Computing sensitivities requires defining the relationships between variables through modeling. Models generally … Continue reading

Demand Forecasting and Rate Sensitivity: An Introduction

WaterFront is proud to bring you a new series on Demand Forecasting and Rate Sensitivity. This first post is a light introduction to the topic and will follow with more technical examples via case studies from John Cook and Edwin Roehl of Advanced Data Mining (ADMI). I hope you enjoy. Why Demand Varies Customer demand … Continue reading