Multi-time granularity data coordinated carbon emission factor prediction method and system

Multi-time granularity data coordinated carbon emission factor prediction method and system

The invention provides a multi-time granularity data coordinated carbon emission factor prediction method and system, and the method comprises the steps: collecting first carbon emission data of a to-be-predicted region, and building a plurality of initial first prediction models for the prediction...

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Hauptverfasser: GONG XIANFU, HUANG XIN, JIN CHU, LI FENG, WANG CHANGWEI, LIU RUOPING, XUN JIAJIA, PENG BO, LUO SHUXIN, LI ZUOHONG, YANG CHEN, JIN BINGJIE, FENG HAORAN, LI YAODONG, ZHONG JUNCHEN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:The invention provides a multi-time granularity data coordinated carbon emission factor prediction method and system, and the method comprises the steps: collecting first carbon emission data of a to-be-predicted region, and building a plurality of initial first prediction models for the prediction of a carbon emission factor according to the time granularity of the first carbon emission data; wherein each time granularity corresponds to one first prediction model; according to the time granularity and the to-be-predicted time period, establishing a time level matrix, and according to the time level matrix, fusing a plurality of first prediction models to obtain an initial first coordination prediction model; performing parameter updating on the first coordination prediction model according to the first carbon emission data to obtain a trained second coordination prediction model so as to predict a carbon emission factor through the second coordination prediction model; according to the invention, the predict