Standard Evaluation Method Research Based On PCA And ANN For Energy Audit

With China's rapid social and economic development, resource constraints become increasingly prominent, in this case, in order to ensure economics' "good and fast" development, China's economic structure should be a transition. That is, from the past that the "high input, high energy consumption, high pollution and low output "model to the" low input, low energy consumption, low pollution, high-yield" change. However, China is still consuming a large amount of resources which characterized by the traditional development model, resulting in energy waste seriously. This is not conducive to the improvement of enterprise performance and enterprise development, but also damaged the environment, affecting the sustainable development of the national economy.Nowadays, world widely used energy evaluation system to evaluate enterprise energy consumption level has been used, current enterprise energy evaluation system in the index set, focusing on economic indicators for environmental protection index set is not comprehensive, and index redundancy bigger, unfavorable to enterprise energy audit method of promotion, this will lead to energy audit of national energy and environmental sustainability guideness becomes poor. Therefore, strengthening existing energy audit system, optimizing the environmental protection index of the indicator system of internal structure, and developing new energy audit tools, have important practical significance to advancing and accelerating energy audit methods in enterprise applications.Based on the existing enterprise energy audit evaluation system and the latest strategy of sustainable development, combining the work experience of the author in energy audit, the following improvement from system parameters angle were put forward:1) In order to reduce the index redundancy of the current energy audit evaluation index system, the PCA (principal component analysis) method to reduce data dimensions were proposed, which can get the most characteristics of original data, reducing the difficulty of energy audit data processing. 2) According to the national policies and the standard management concept, a new energy audit method based on BP neural network of artificial intelligence was introduced and, this new method was applied in 6 companies iron & steel enterprises'energy audit data processing.3) In order to fully supervise enterprises'low energy consumption level, a new index of energy audit, low carbon coefficient via standard was introduced and the index for enterprises was graded already.The result of this dissertation provides new ideas for perfecting the energy audit system and audit data analysis methods system.