In today’s economic landscape, there are significant differences in regional economic development levels. The uneven development of renewable energy has become a prominent problem and an important factor restricting the rapid and healthy development of the national economy. To further improve the competitiveness of the regional economy, this study first assesses the level of economic development by clustering based on improved grey correlation clustering. The economic development of each cluster group is also analyzed using the improved projection-seeking model. The outcomes indicated that the proposed model had a high consistency between the clustering results of the model and the real categories in terms of purity and standard mutual information maximum values of 0.940 and 0.907, respectively. In the analysis of regional economic development examples, the proposed method achieved the highest ability to categorize the economic status quo. This method provides a thorough analysis of the development level of economic indicators. It is a realistic approach that is demonstrably more effective than manual evaluation. This study provides a scientific and reliable basis for regional economic development. It helps promote the coordinated and sustainable growth of the regional economy and contributes innovative ideas and methods for solving the problem of the uneven development of renewable energy.