Analysis and Prediction of the Role of Energy Transition in Addressing Climate Change
To address the global climate change challenge,data on the global energy transition were collected,and the impact of renewable energy on global climate change and the pivotal role of China in the world's energy transition was analyzed by utilizing data analysis and visualization techniques.To explore China's future CO2 emissions and related ener-gy development,five distinct machine learning models were used to evaluate their accuracy on the datasets of CO2 emis-sion growth rate,and subsequently the optimal model was selected to predict the proportion of hydroelectricity,wind pow-er,and solar power in the total amount of power generation,so as to put forward a set of feasible suggestions to miti-gate climate change in the context of global energy transition.
energy transitionclimate changemachine learningdata visualizationanalysis and prediction
NETL
NSTL
万方数据
维普
