Sulfur Dioxide Emission Combination Prediction Model of China Thermal Power Industry
The prediction of regional sulfur dioxide (SO2) emission of thermal power belongs to gray system which has small amounts of samples and little information, so a appropriate forecasting method is essential. Based on thermal power industry SO2 emission data from state department authorities, consideri...
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| Main Authors: | , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2013-03-01.
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| LEADER | 01685 am a22002773u 4500 | ||
|---|---|---|---|
| 001 | ijeecs2077_2560 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Jianguo, Zhou |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Fen, Zhang |e author |
| 245 | 0 | 0 | |a Sulfur Dioxide Emission Combination Prediction Model of China Thermal Power Industry |
| 260 | |b Institute of Advanced Engineering and Science, |c 2013-03-01. | ||
| 520 | |a The prediction of regional sulfur dioxide (SO2) emission of thermal power belongs to gray system which has small amounts of samples and little information, so a appropriate forecasting method is essential. Based on thermal power industry SO2 emission data from state department authorities, considering the main factors of China's thermal power industry SO2 predicted emission, we established a combination prediction model connecting gray prediction model with BP neural network model to predict SO2 emission, and we get more satisfied prediction. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2181 | ||
| 540 | |a Copyright (c) 2013 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 11, No 3: March 2013; 1157-1165 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v11.i3 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2077/2560 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2077/2560 |z Get fulltext |