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Title: Use of intelligent computational techniques for the estimation and projection of air pollutant emissions

Abstract

EPA is developing a fuzzy logic and/or neural network model for predicting US greenhouse gas emissions from the electric utility sector. The model would be a refinement and modification of the existing Electric Utility Model (EUMOD). Development and testing of the model would use similar data inputs and would follow a testing and validation procedure similar to that used for EUMOD. In this case, the output from the model would be estimated future carbon dioxide (CO2) emissions for each state. CO2 is the most significant greenhouse gas pollutant in the US, accounting for about 85% of national greenhouse gas emissions. Currently electric utilities produce about one-third of the national CO2 emissions.

Authors:
;
Publication Date:
Research Org.:
Environmental Protection Agency, Air Pollution Prevention and Control Div., Research Triangle Park, NC (United States)
OSTI Identifier:
339535
Report Number(s):
PB-99-126484/XAB; EPA-600/A-98/140; CONF-9810115-
TRN: 90741753
Resource Type:
Conference
Resource Relation:
Conference: 4. joint conference on information sciences, Research Triangle Park, NC (United States), 23-28 Oct 1998; Other Information: PBD: 1998
Country of Publication:
United States
Language:
English
Subject:
20 FOSSIL-FUELED POWER PLANTS; FORECASTING; AIR POLLUTION; ELECTRIC UTILITIES; POWER GENERATION; ARTIFICIAL INTELLIGENCE; CARBON DIOXIDE; GREENHOUSE GASES; GREENHOUSE EFFECT; FUZZY LOGIC; E CODES

Citation Formats

Kimbrough, E S, and Mann, C O. Use of intelligent computational techniques for the estimation and projection of air pollutant emissions. United States: N. p., 1998. Web.
Kimbrough, E S, & Mann, C O. Use of intelligent computational techniques for the estimation and projection of air pollutant emissions. United States.
Kimbrough, E S, and Mann, C O. 1998. "Use of intelligent computational techniques for the estimation and projection of air pollutant emissions". United States.
@article{osti_339535,
title = {Use of intelligent computational techniques for the estimation and projection of air pollutant emissions},
author = {Kimbrough, E S and Mann, C O},
abstractNote = {EPA is developing a fuzzy logic and/or neural network model for predicting US greenhouse gas emissions from the electric utility sector. The model would be a refinement and modification of the existing Electric Utility Model (EUMOD). Development and testing of the model would use similar data inputs and would follow a testing and validation procedure similar to that used for EUMOD. In this case, the output from the model would be estimated future carbon dioxide (CO2) emissions for each state. CO2 is the most significant greenhouse gas pollutant in the US, accounting for about 85% of national greenhouse gas emissions. Currently electric utilities produce about one-third of the national CO2 emissions.},
doi = {},
url = {https://www.osti.gov/biblio/339535}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 31 00:00:00 EST 1998},
month = {Thu Dec 31 00:00:00 EST 1998}
}

Conference:
Other availability
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