Study on Calculation Method and Dynamic Prediction Model of Carbon Emission in Power Industry

China has proposed a "carbon peak and carbon neutrality" policy since 2020. The power industry has become hot topic in carbon emission research. This article conducts a study on carbon emissions in the power industry based on this. And defined a key indicators of a carbon emission flow model. The carbon flow model for the power system was constructed through analogical trend analysis. Results indicate that the model has high reliability within the error range. This article also explores the research direction and content of future carbon emission flow theory. A prediction model was constructed based on the XGBoost algorithm. A preliminary calculation and prediction model for carbon emissions has been designed. Provide theoretical basis for carbon reduction in the power industry.

Authors

Institutions

Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1109/icedcs64328.2024.00037
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Calculation Method and Dynamic Prediction Model of Carbon Emission in Power Industry

Qing Gong Song, Wanshui Yu, Haotian Zhang, Wenjing Chen et al.
Environmental Impact and Sustainability
article

Study on Calculation Method and Dynamic Prediction Model of Carbon Emission in Power Industry

Qing Gong Song, Wanshui Yu, Haotian Zhang, Wenjing Chen, Danni Wang, Fanshuo Wei, Chao Liu
article en

Abstract

China has proposed a "carbon peak and carbon neutrality" policy since 2020. The power industry has become hot topic in carbon emission research. This article conducts a study on carbon emissions in the power industry based on this. And defined a key indicators of a carbon emission flow model. The carbon flow model for the power system was constructed through analogical trend analysis. Results indicate that the model has high reliability within the error range. This article also explores the research direction and content of future carbon emission flow theory. A prediction model was constructed based on the XGBoost algorithm. A preliminary calculation and prediction model for carbon emissions has been designed. Provide theoretical basis for carbon reduction in the power industry.

North China Electric Power University (CN), China Electric Power Research Institute
State Grid Corporation of China
Openalex Percentile: Top 78%
Environmental Impact and Sustainability
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.