"Industry 4.0" aims to build a highly versatile, individualized digital production model for goods and services. The carbon emission (CE) issue needs to be addressed by changing from centralized control to decentralized and enhanced control. Based on a solid CE monitoring, reporting, and verification system, it is necessary to study future power system CE dynamics simulation technology. In this article, a data-driven approach is proposed to analyzing the trajectory of urban electricity CEs based on empirical mode decomposition, which suggests combining macro-energy thinking and big data thinking by removing the barriers among power systems and related technological, economic, and environmental domains. Based on multisource heterogeneous mass data acquisition, effective secondary data can be extracted through the integration of statistical analysis, causal analysis, and behavior analysis, which can help construct a simulation environment supporting the dynamic interaction among mathematical models, multi-agents, and human participants.

中文翻译：

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城市地区电力碳排放轨迹的数据驱动分析方法。

“工业4.0”旨在为商品和服务构建高度通用、个性化的数字化生产模式。碳排放（CE）问题需要从集中管控转向分散强化管控。基于坚实的CE监测、报告和验证体系，有必要研究未来电力系统CE动力学仿真技术。在本文中，提出了一种基于经验模式分解的数据驱动方法来分析城市电力 CEs 的轨迹，该方法建议结合宏观能源思维和大数据思维，消除电力系统与相关技术、经济和环境之间的障碍。环境领域。基于多源异构海量数据采集，