Paper
16 January 2025 Carbon asset value evaluation method and management suggestions for power grid enterprises based on big data
Lijuan Huang, Jinlin Lin, Zhen Pan, Chunli Zhou, Kaihui Ye, Shiqi Li
Author Affiliations +
Proceedings Volume 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024); 134474S (2025) https://doi.org/10.1117/12.3045768
Event: International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 2024, Wuhan, China
Abstract
In the development of social economy and scientific and technological progress, the ecological and environmental protection awareness of social residents is becoming stronger and stronger. Due to the extensive industrial development period experienced by China for a long time, more environmental pollution problems have been left, so in the face of the new market development situation, emission enterprises in various fields should focus on their own carbon asset management capabilities. Especially under the development trend of economic globalization, China's key emission enterprises have begun to actively participate in carbon asset management, and have built a new management system by using big data technology. Therefore, in order to understand the current status of carbon asset management in key emitters under the background of China's carbon market, this paper comprehensively explores the auxiliary decision-making model and value evaluation method of enterprise carbon asset management, and then puts forward corresponding management measures from the perspective of new era development, so as to provide reference for the carbon asset management of key emitters
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lijuan Huang, Jinlin Lin, Zhen Pan, Chunli Zhou, Kaihui Ye, and Shiqi Li "Carbon asset value evaluation method and management suggestions for power grid enterprises based on big data", Proc. SPIE 13447, International Conference on Mechatronics and Intelligent Control (ICMIC 2024), 134474S (16 January 2025); https://doi.org/10.1117/12.3045768
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KEYWORDS
Carbon

Power grids

Industry

Industrial applications

Analytical research

Data modeling

Decision making

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