Document Type
Master's Culminating Experience
Publication Date
1993
Abstract
The Dayton Power and Light Company requested that an econometric model be created to forecast steam sales and customers. The Company currently uses econometric models for its electric sales, electric customer, and peak usage forecasts. The Company also uses econometric models to forecast natural gas sales, customers, peak day, and hourly usage. The steam business did not have a forecasting model that was easy to work with, and which produced reasonable results. The goal of this project was to build an econometric model which could be used to forecast the Company's steam sales and customers in order to bring consistency to all the forecasting processes within the Company.
Repository Citation
Carus, P. D.
(1993). Dayton Power and Light Company Steam Sales and Customer Forecast. .
https://corescholar.libraries.wright.edu/econ_student/47
