Dynamic carbon emission factor calculation method based on operation data of coal-fired unit
The invention relates to a dynamic carbon emission factor calculation method based on operation data of a coal-fired unit. The method comprises the following steps: extracting operation characteristic data of a thermal power unit; carrying out standardization processing on the extracted feature data...
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| creator | WANG SEN AI DENGXIN WANG XUDONG HAN YUE WANG KUN GAN ZHIYONG BIAN JIANG ZHANG LAI LI NA YANG TING BAN QUAN DANG ZHAOSHUAI LIU NING LU FEI GAO YI LI HAORAN WANG YANG ZHANG YI LUO SHUAI XIANG TIANCHUN |
| description | The invention relates to a dynamic carbon emission factor calculation method based on operation data of a coal-fired unit. The method comprises the following steps: extracting operation characteristic data of a thermal power unit; carrying out standardization processing on the extracted feature data; classifying the feature data according to the unit capacity; carrying out clustering on the classified data by adopting an improved K-means clustering method; establishing a coal-fired unit dynamic carbon emission factor calculation model based on a BP neural network; performing dimension reduction processing on the feature data by adopting a principal component analysis method, and finding out principal components according to contribution degrees of all the components; and analyzing the principal component and the correlation coefficient matrix, and determining a characteristic data category which is positively correlated with the principal component and has relatively large influence on the dynamic factor. Acc |
| format | Patent |
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The method comprises the following steps: extracting operation characteristic data of a thermal power unit; carrying out standardization processing on the extracted feature data; classifying the feature data according to the unit capacity; carrying out clustering on the classified data by adopting an improved K-means clustering method; establishing a coal-fired unit dynamic carbon emission factor calculation model based on a BP neural network; performing dimension reduction processing on the feature data by adopting a principal component analysis method, and finding out principal components according to contribution degrees of all the components; and analyzing the principal component and the correlation coefficient matrix, and determining a characteristic data category which is positively correlated with the principal component and has relatively large influence on the dynamic factor. 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The method comprises the following steps: extracting operation characteristic data of a thermal power unit; carrying out standardization processing on the extracted feature data; classifying the feature data according to the unit capacity; carrying out clustering on the classified data by adopting an improved K-means clustering method; establishing a coal-fired unit dynamic carbon emission factor calculation model based on a BP neural network; performing dimension reduction processing on the feature data by adopting a principal component analysis method, and finding out principal components according to contribution degrees of all the components; and analyzing the principal component and the correlation coefficient matrix, and determining a characteristic data category which is positively correlated with the principal component and has relatively large influence on the dynamic factor. Acc</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Dynamic carbon emission factor calculation method based on operation data of coal-fired unit |
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