Research On Forecasting The Development Capability Of China’s Wind Energy Industry

Energy is the driving force behind social progress.With the exploitation of traditional energy sources and the scarcity of available energy sources,research on new energy sources at home and abroad has become increasingly important.However,these new energy industries in China have risen relatively late,and their development has been slow,and the evaluation of the development of new energy industries is insufficient.In recent years,China has continuously proposed policies for ecological protection,energy reform,and development of new energy.Researching wind energy development capabilities under the environment is of epochal significance,providing a scientific reference basis for the future development of new energy and the development of the wind energy industry.In the context of the new era of new energy development,this article conducts specific research on the future development capacity of the wind energy industry based on existing domestic and foreign wind energy industry development capabilities.Most of the research on wind energy industry’s capacity development is focused on the theoretical level.By referring to a large amount of literature,this article first establishes a set of macro-reflection of the wind energy industry based on the combination of theoretical analysis and practice.Indicator system for development capacity.Secondly,based on the index system,an analysis model for the development capacity of China’s wind energy industry was established,which extracted three main components,viability factor,innovation capability factor,and development environment factor,and calculated the three main component scores from 2008 to 2018.The comprehensive score provides a scientific and reasonable analysis of the current comprehensive development capacity of the wind energy industry,providing a basis for government decision-making.Finally,a forecasting model for the development capacity of the wind energy industry based on IPSO-LSTM(The Improved Particle Swarm Optimization Algorithm Optimizes The LongShort Time Memory Neural Network)was constructed,and a non-linear change inertial weight is used to improve the optimization performance of the PSO(Particle Swarm Optimization).An IPSO(Improved Particle Swarm Optimization)algorithm is used to optimize the super parameters of the LSTM(Long-Short Time Memory)neural network to avoid artificial selection.And multiple attempts lead to errors caused by human subjective factors,and further improve the accuracy of prediction.At the same time,the three principal component scores and comprehensive scores in the 10 years from 2008 to 2018 are used as the basic data for the prediction model.For the future 2020-2035 wind energy Forecast the industrial development capacity.The research shows that the development of various indicators of the wind energy industry in 2020 meets the expectations of the 13 th Five-Year Plan,and the development capabilities and comprehensive development capabilities of the three major components of the wind energy industry are in line with current development trends and expectations.It can be seen that the forecasting model for the development capacity of the wind energy industry The development capability of the wind energy industry enables effective forecasting.Combining the forecast results of 2020-2035 with the policy of energy development,the forecast results of the development capacity of the wind energy industry are in line with the overall energy development direction.Therefore,the forecast results in this paper have practical significance for the research on the wind energy industry,and the forecast model for the development of the wind energy industry can provide data support for the development of the wind energy industry.