| Título: | Sulfur Dioxide Emission Combination Prediction Model of China Thermal Power Industry |
| Autores: |
Jianguo, Zhou; North China Electric Power University Fen, Zhang; North China Electric Power University |
| Fecha: | 2013-01-13 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | No aplica |
| Descripción: | 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. |
| Idioma: | Inglés |