Carbon trading behavior of power generation enterprises based on causal inference

Pengfei Wang; Xiaodong Ren

doi:10.1117/12.2656857

20 October 2022 Carbon trading behavior of power generation enterprises based on causal inference

Pengfei Wang, Xiaodong Ren

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124510C (2022) https://doi.org/10.1117/12.2656857
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

To realize the prediction of carbon trading volume of power generation enterprises, this paper takes a power generation enterprise as an example, and introduces the causal inference theory to study the carbon trading behavior of enterprises. Data mining technology is introduced to obtain the operation data of power generation enterprises in the market. It is also used to collate the obtained multi-channel data, and cluster them according to the data category to extract the attribute characteristics of carbon trading behavior of the power generation enterprises. Based on the causal reasoning relationship and referring to the SEM model in the causal reasoning relationship, the carbon trading behavior model is constructed. According to the market access conditions of sellers and sellers, the balance of power supply and demand is taken as the starting point to predict the carbon trading volume of power generation enterprises and complete the analysis of carbon trading behavior of power generation enterprises. Taking a power generation enterprise as an example, related application experiments are designed. The experimental results show that the prediction results are reliable by using the designed method to predict the carbon trading volume of enterprises, which can be used as the key basis for the decision-making of carbon trading behavior of power generation enterprises.

Citation Download Citation

Pengfei Wang and Xiaodong Ren "Carbon trading behavior of power generation enterprises based on causal inference", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124510C (20 October 2022); https://doi.org/10.1117/12.2656857

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available