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Research on Monthly Carbon Emission Monitoring Methods and Carbon Reduction Pathways in Industrial Parks
ID：56 View Protection：ATTENDEE Updated Time：2025-11-07 09:32:23 Hits：479 Oral Presentation

Start Time：2025-11-09 09:00（Asia/Shanghai）

Duration：15min

Session：S1 1. Renewable energy system » S11.Renewable energy system

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Abstract
Accurate monitoring of carbon emissions in industrial parks is essential for achieving China’s “dual carbon” goals. Traditional methods, however, are limited by data lag and static emission factors, failing to support dynamic carbon management. This study integrates 52 months of multi-dimensional data—including electricity consumption, meteorological conditions, and production indicators—from a zero-carbon industrial park in Yunnan Province from 2021 to 2025. This Paper construct a feature engineering system incorporating temporal, lagged, and interaction terms. Using time-series cross-validation and the LightGBM algorithm, and establish a dynamic “electricity-energy-carbon” monitoring framework. This enables real-time carbon tracking through adaptive factor calibration and quantifies emission reduction benefits via a multi-objective optimization model. Our approach reveals synergies between production optimization and energy transition, offering a reusable, standardized monitoring process to support low-carbon transformation in industrial parks.
Keywords
Industrial parks,Emission reduction pathways,LightGBM model,Carbon emission monitoring,Carbon emission management
Speaker
Liu Liangwei
Sichuan Energy Internet Research Institute Tsinghua University

Ruan Yongli
Kunming Power Supply Bureau, Yunnan Power Grid Co., Ltd.

Submission Author
凯 胡 云南电网有限责任公司
永丽 阮 云南电网有限责任公司昆明供电局
志敏 戴 云南电网有限责任公司信息中心
信 庾 云南电网有限责任公司昆明供电局
强 王 云南电网有限责任公司昆明供电局
艳 张 清华四川能源互联网研究院
良伟 刘 清华四川能源互联网研究院
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Important Date

  • Conference Date

    Nov 07

    2025

    to

    Nov 09

    2025

  • Oct 30 2025

    Draft paper submission deadline

  • Nov 10 2025

    Registration deadline

Sponsored By
IEEE西南交通大学IAS学生分会
Organized By
西南交通大学电气工程学院
SPACI车网关系研究室
四川大学电力系统稳定与高压直流输电研究团队
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