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Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models
Joint Authors
Sánchez, Antonio Bernardo
de Cos Juez, Francisco Javier
Lasheras, Fernando Sánchez
Ordóñez, Celestino
Roca-Pardiñas, Javier
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
An SO2 emission episode at coal-fired power station occurs when the series of bihourly average of SO2 concentration, taken at 5-minute intervals, is greater than a specific value.
Advance prediction of these episodes of pollution is very important for companies generating electricity by burning coal since it allows them to take appropriate preventive measures.
In order to forecast SO2 pollution episodes, three different methods were tested: Elman neural networks, autoregressive integrated moving average (ARIMA) models, and a hybrid method combining both.
The three methods were applied to a time series of SO2 concentrations registered in a control station in the vicinity of a coal-fired power station.
The results obtained showed a better performance of the hybrid method over the Elman networks and the ARIMA models.
The best prediction was obtained 115 minutes in advance by the hybrid model.
American Psychological Association (APA)
Sánchez, Antonio Bernardo& Ordóñez, Celestino& Lasheras, Fernando Sánchez& de Cos Juez, Francisco Javier& Roca-Pardiñas, Javier. 2013. Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-456318
Modern Language Association (MLA)
Sánchez, Antonio Bernardo…[et al.]. Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models. Abstract and Applied Analysis No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-456318
American Medical Association (AMA)
Sánchez, Antonio Bernardo& Ordóñez, Celestino& Lasheras, Fernando Sánchez& de Cos Juez, Francisco Javier& Roca-Pardiñas, Javier. Forecasting SO2 Pollution Incidents by means of Elman Artificial Neural Networks and ARIMA Models. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-456318
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456318