Predicting Utility Bills for Air Combat Command A Study of Forecasting Techniques
Date of Award
Spring 1995
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management
Committee Director
Derya A. Jacobs
Committee Member
Billie M. Reed
Committee Member
Han Bao
Call Number for Print
Special Collections LD4331.E555 L87
Abstract
Many companies use forecasting techniques as a tool in managing their assets. Trends in such items as sales, population and inventory levels have all been determined at one time or another using forecasting, yet research indicates that these tools have not been utilized to predict utility budgets. This research was conducted to determine if such techniques could be applied to the specific task of predicting the utility bill at an Air Force base. Three quantitative models were chosen, the Moving Average, Exponential Smoothing and Regression, to determine their applicability to the task at hand. One base within Air Combat Command, Langley AFB, Hampton, Virginia, was studied due to its location and visibility. The models were tested using the actual data as reported to Air Combat Command. All models proved to be acceptable, with two of the models requiring further modification and refinement. This research concludes that the applicability of quantitative methods for predicting utility bills is viable, and recommends the use of the Regression model because of its ability to include multiple input variables impacting the outcome and its ability to address seasonality. Further refinements and modifications to the models analyzed in this research are recommended before their application on a broader scale.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/1jg1-wf77
Recommended Citation
Luthie, William L..
"Predicting Utility Bills for Air Combat Command A Study of Forecasting Techniques"
(1995). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/1jg1-wf77
https://digitalcommons.odu.edu/emse_etds/229