Source network load energy storage flow carbon flow analysis method based on multidomain characteristics and CNN

Due to the correlation relationship in each stage of the integrated energy system of source network load energy storage, it is difficult to guarantee the reliability of the analysis results of energy flow carbon flow. Therefore, a research method of source network load energy storage flow carbon flow analysis based on multi domain characteristics and CNN is proposed. Based on the stage, comb the complete chain of energy in the source network load storage system from input to conversion, and then to final consumption, and deeply integrate the carbon emission data in each subsystem and process to obtain the energy utilization characteristics and carbon emission characteristics of the source network load storage system; After defining the analysis object and classification corresponding to the primary energy processing conversion energy consumption terminal in the hierarchical structure of the main body of the energy flow carbon flow chart, CNN is used to fit the multi domain characteristics to determine the energy flow carbon flow relationship. In the test results, the analysis results of the corresponding energy consumption and carbon emissions in different scenarios have the highest fitting degree with the simulated output.

Authors

Institutions

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1117/12.3065102
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Source network load energy storage flow carbon flow analysis method based on multidomain characteristics and CNN

Yichun Gong, Cong Wu, Guangzeng Sun, Peng Xia et al.
Power Systems and Technologies
article

Source network load energy storage flow carbon flow analysis method based on multidomain characteristics and CNN

Yichun Gong, Cong Wu, Guangzeng Sun, Peng Xia, Lei Jia
article en

Abstract

Due to the correlation relationship in each stage of the integrated energy system of source network load energy storage, it is difficult to guarantee the reliability of the analysis results of energy flow carbon flow. Therefore, a research method of source network load energy storage flow carbon flow analysis based on multi domain characteristics and CNN is proposed. Based on the stage, comb the complete chain of energy in the source network load storage system from input to conversion, and then to final consumption, and deeply integrate the carbon emission data in each subsystem and process to obtain the energy utilization characteristics and carbon emission characteristics of the source network load storage system; After defining the analysis object and classification corresponding to the primary energy processing conversion energy consumption terminal in the hierarchical structure of the main body of the energy flow carbon flow chart, CNN is used to fit the multi domain characteristics to determine the energy flow carbon flow relationship. In the test results, the analysis results of the corresponding energy consumption and carbon emissions in different scenarios have the highest fitting degree with the simulated output.

Energy Research Institute (CN)
Openalex Percentile: Top 94%
Power Systems and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Source network load energy storage flow carbon flow analysis method based on multidomain characteristics and CNN — Yichun Gong, Cong Wu, et al. · (2025) | TGRS Research Map | TGRS