Scenario Analysis of Carbon Peak Based on PSOBP

• DOI: 10.54097/hset.v67i.11547
• Publication Date: 2023-12-28T02:00:58Z
• Authors: Luying Shu; Ang Li; Lijuan Qin
• Keywords: Carbon fibers; Scenario analysis; Promotion (chess); Grey relational analysis

To investigate the carbon peak scenario and corresponding time in China, this paper firstly employed grey correlation test to determine factors influencing emissions; Secondly, PSO-BPNN neural network combined with analysis was used construct a unique model of China's Results revealed that: actual amount foreign capital utilized, diesel consumption urbanization rate are three most influential on emissions. The "double carbon" goals have long way go achieving ahead schedule requires accelerating low-carbon energy transition actively optimizing upgrading industries but also relies technological innovation promotion advanced technologies.