TITLE:
Solving the Carbon Dioxide Emission Estimation Problem: An Artificial Neural Network Model
AUTHORS:
Abdel Karim Baareh
KEYWORDS:
Fossil Fuels; Carbon Emission; Forecasting; Artificial Neural Network; Back Propagation
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.6 No.7,
June
28,
2013
ABSTRACT:
Climate Pollution due to the Carbon Emission (CO2) from the different fossil fuels is
considered as a great and important international challenge to many researchers.
In this paper we are providing a solution to forecast the poison CO2 gas emerged from energy consumption. Four inputs data were considered the
global oil, natural gas, coal, and primary energy consumption to build our
system. In this paper, we used the Artificial Neural Network (ANN) as successful and powerful
tool in handling a time series modeling problem. The proposed ANN model was
used to train and test the yearly CO2 Emission. The data were
trained from year 1982 to 2000, and tested for the year 2003 to 2010. From the
results obtained we can see that ANN performance was Excellent and proved its
efficiency as a useful tool in solving the climate pollution problems.