Use of intelligent computational techniques for the estimation and projection of air pollutant emissions
Conference
·
OSTI ID:339535
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.
- Research Organization:
- Environmental Protection Agency, Air Pollution Prevention and Control Div., Research Triangle Park, NC (United States)
- OSTI ID:
- 339535
- Report Number(s):
- PB-99-126484/XAB; EPA-600/A-98/140; CONF-9810115-; TRN: 90741753
- 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
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