Feasibility Analysis of China's Electricity Supply and Carbon Neutrality Using LSTM-ARIMA Model

This article focuses on the modeling and algorithm design of China's photovoltaic power generation industry. This article mainly uses ARIMA-LSTM to study the influencing factors of China's power supply and predict its development trend; Using the GPCA-EWM evaluation model to evaluate the possibility of constructing a photovoltaic power station in a certain area. In terms of factor selection, The paper integrated the five major indicators of economy, production, consumption, transportation, and population for factor selection and data acquisition. Finally, the paper obtained feasibility score maps for various provinces in China, And based on this analysis, it is more suitable to build photovoltaic power stations in the northwest region of China.