Research on the Association between Energy Consumption and Carbon Emissions Based on Knowledge Graph

This paper proposes a knowledge feature extraction method for energy consumption and carbon emissions from multiple sources of heterogeneous data in key energy-using industries, and uses multi-dimensional feature indicators to correlate energy and carbon data. A knowledge mapping architecture for the coupling characteristics of energy consumption and carbon emissions is constructed, and a mapping-based “energy consumption-carbon emissions” correlation knowledge mapping system is formed using actual energy use characteristics data. It provides decision makers with a comprehensive approach to managing energy and carbon data in key energy-using industries from a holistic perspective.