Method for calculating regional carbon dioxide emission by using electricity consumption data

The invention discloses a method for calculating regional carbon dioxide emission through electricity consumption data, and belongs to the technical field of carbon dioxide emission accounting in the electric power industry. Through the method, a machine learning technology is applied to calculation...

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Hauptverfasser: LU YAO, SONG DAWEI, ZHENG YONGLE, YANG QINCHEN, DENG ZHENLI, WANG HAN, BU FEIFEI, LI PENG, DENG FANGZHAO, JIN MAN, YIN SHUO, XIE ANBANG, ZHAO WENJIE, ZHANG HONGKAI, LI QIUYAN, WANG SHIQIAN, GUO XINGWU, LIU JUNHUI, HAN DING, HUA YUANPENG, BAI HONGKUN, LI HUIXUAN, ZU WENJING, LU XUTING, YANG MENG, LI HUJUN, JIA YIBO, ZHANG YIHAN, WANG JIONG, SI JIANAN, CHAI ZHE, CHEN XING, WANG YUANYUAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a method for calculating regional carbon dioxide emission through electricity consumption data, and belongs to the technical field of carbon dioxide emission accounting in the electric power industry. Through the method, a machine learning technology is applied to calculation of regional carbon dioxide emission, and compared with an existing sub-department emission factor calculation method, the calculation efficiency is greatly improved, and the calculation cost is reduced. And the manpower and material resource cost consumed by regional carbon emission calculation is reduced, and better economical efficiency is achieved. The problem that an existing carbon emission accounting method is low in data timeliness, publishing of energy statistical data, carbon emission data and the like is lagged, and response to real-time events is lacked is solved, lagged energy statistical yearbook data is not used, and power consumption data with high real-time performance is used. 本发明公开了一种使用电量消费数据计算区域