Incremental Benefits of Green Building Energy Efficiency Model Based on Apriori Algorithm

China is a major energy consumer, accounting for 21.5% of the world’s total energy consumption. Therefore, building an energy-saving society is an inevitable development direction. In the “13th Five Year Plan” development goals, China clearly proposed the “green” development concept, with addressing climate change, environmental change, and green sustainable development as the core for research. The construction industry is an industry with high energy consumption, consistent with the national development goals, and advocating “developing green buildings” has become a hot topic and inevitable trend. Previously, in the study of cost effectiveness of green buildings, attention has been paid to the research and application of relevant general specifications and standards, and corresponding green building technologies. More attention has been paid to cost effectiveness evaluation methods. Among the “four savings and one environmental protection” proposed by green buildings, the incremental cost of energy conservation accounted for approximately 47%. However, there are few studies on the direct economic benefits of energy conservation, especially the lack of direct economic accounting and analysis of the increased costs and benefits, making it difficult to fully demonstrate the economic feasibility of green buildings. Therefore, many relevant objects such as governments, developers, and consumers cannot have an objective and accurate understanding of green buildings, which to some extent hinders the development, utilization, and promotion of green buildings in China in the future. In the Apriori algorithm studied in this paper, the incremental efficiency of green building energy conservation has been significantly improved. The maximum increase in revenue per square meter was 24.98 yuan.