Long, Yin, Han, Chaoliang, Kolivand, Hoshang, Balas, Valentina E., Paul, Anand, and Ramachandran, Varatharajan
The research results of this paper provide new ideas and perspectives for the construction of trading market of China's carbon emission rights, so as to better alleviate the difficulties in China's energy conservation and emission reduction. Data evaluation and image analysis based on wavelet transform image processing technology and deep learning were used in the study. Moreover, wavelet transform was used to extract the edge, and compared with the results of several other methods for extracting edges, so as to further study and analyze the trend of carbon emissions trading. The fluctuations in the price of carbon emissions trading, the shift of state, and the period of ups and downs are affected by many random factors. Through research algorithms, we can estimate the situation, seize opportunities, and forecast the prospects. In addition, based on the research, this paper obtains the relevant strategies for carbon emissions trading and value assessment in China. [ABSTRACT FROM AUTHOR]