Research Article
Simulation of Carbon Footprint Calculation Model of Power Enterprises Based on Particle Swarm Optimization
@INPROCEEDINGS{10.4108/eai.15-12-2023.2345349, author={Fangzhao Deng and Xingwu Guo and Zhenli Deng and Meng Yang}, title={Simulation of Carbon Footprint Calculation Model of Power Enterprises Based on Particle Swarm Optimization}, proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China}, publisher={EAI}, proceedings_a={PMBDA}, year={2024}, month={5}, keywords={particle swarm optimization; carbon footprint; power enterprises}, doi={10.4108/eai.15-12-2023.2345349} }- Fangzhao Deng
Xingwu Guo
Zhenli Deng
Meng Yang
Year: 2024
Simulation of Carbon Footprint Calculation Model of Power Enterprises Based on Particle Swarm Optimization
PMBDA
EAI
DOI: 10.4108/eai.15-12-2023.2345349
Abstract
The purpose of this study is to develop a carbon footprint calculation model of power enterprises based on PSO(particle swarm optimization) to help power enterprises quantify their carbon emissions and optimize their carbon emission reduction strategies. In this study, considering the user-side carbon emission quota constraint model, a Fuzzy SPSO (Fuzzy Self-Correcting PSO) is proposed to solve this optimization problem. Fuzzy SPSO is an optimization algorithm that combines PSO and fuzzy logic to improve the adaptability and global search ability of the algorithm. Through the introduction of fuzzy rules, the algorithm can better adapt to the characteristics of different problems, deal with uncertainty and diversity, and find a better solution. The simulation results show that the algorithm can effectively deal with multiple influencing factors, including power supply structure, energy efficiency and carbon emission factors, so as to find the best emission reduction strategy. This study provides a powerful tool, which is helpful for power enterprises to achieve carbon emission reduction targets, promote sustainable development, and provide valuable experience and methods for research and practice in the field of carbon emission reduction. This is of great significance for coping with climate change and achieving the goal of carbon neutrality.