Date of Award
Fall 1995
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Civil, Construction, and Environmental Engineering
First Advisor
Brown, Ronald H.
Second Advisor
Belfore, Lee
Third Advisor
Ruchti, Timothy L.
Abstract
The purpose of this thesis is to develop artificial neural network based models to predict daily gas consumption for a portion of metropolitan Milwaukee, Wisconsin. In this thesis, a particular type of artificial neural networks referred to as diagonally recurrent artificial neural networks are used to develop gas load models. These new models are then compared to feed-forward artificial neural network based models and other traditional forecasting techniques. All the models are constructed using historical load and weather data provided by the Wisconsin Gas company. The weather data was obtained from a weather recording site located between 60th street and Capitol Drive in Milwaukee, Wisconsin. Some of the inputs into the models are weather forecasts. Actual weather forecasts are used for these inputs when testing the models. These weather forecasts were also provided by the Wisconsin Gas Company.
Recommended Citation
Matin, Iftekhar, "Artificial Neural Network Models to Predict Gas Consumption" (1995). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4746.
https://epublications.marquette.edu/theses/4746