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- W4281622660 abstract "The current electricity-carbon analysis and management in China need improvement. The electricity-carbon calculation covers a large area and does not consider the type and quantity of renewable energy power generations in different regions. Also, the calculation lacks timeliness and does not consider the transmission characteristics of electricity in the power grid. This paper proposed a grid spatiotemporal data modeling method and electricity-carbon correlation analysis based on graph database technology. We first conduct theoretical research of the correlation between electricity and carbon, and then design the one graph of electricity-carbon (OGEC) graph model that integrates electricity and carbon correlation data. Based on the constructed spatiotemporal data platform, we explore the application scenarios of electricity-carbon correlation analysis to facilitate the achievement of carbon peaking and carbon neutrality in China." @default.
- W4281622660 created "2022-06-13" @default.
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- W4281622660 date "2022-04-01" @default.
- W4281622660 modified "2023-10-03" @default.
- W4281622660 title "Electricity-Carbon Graph Modeling and Analysis" @default.
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- W4281622660 doi "https://doi.org/10.1109/acpee53904.2022.9784022" @default.
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