Energy efficiency evaluation method based on deep learning model

Energy efficiency measurement and its influence factors is important way of energy efficiency evaluation. In this paper, character identification method has been proposed to determine influence factors of energy efficiency and energy efficiency of 24 provinces in china is analyzed and evaluated by deep learning method. By comparison, two classification and prediction models are built with two other common classification and prediction algorithms. Case study with collected data revealed that the classification accuracy of three model is all over 90% and the deep learning model shown the best results. And then energy efficiency of other six provinces are predicted with three model and the deep learning model shown the best results. In the end, a strategy is put forward to improve Chinese energy efficiency.

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