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Analysis of Energy Consumption and Energy Saving Potential Based on the Monthly Data of Enterprises in Paper Industry
  
DOI:10.11980/j.issn.0254-508X.2016.08.007
Key Words:energy consumption  yield  energy saving potential  grey theory  BP neural network
Author NameAffiliation
叶 诺 华南理工大学制浆造纸工程国家重点实验室,广东广州,510640 
李继庚 华南理工大学制浆造纸工程国家重点实验室,广东广州,510640 
洪蒙纳* 华南理工大学制浆造纸工程国家重点实验室,广东广州,510640 
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Abstract:Based on the monthly data of the papermaking enterprises in a certain area, the paper analyzed the energy consumption and output of different kinds of paper in this area. The appropriate indicators were chosen to build a combined forecasting model through the gray theory and BP neural network, and the energy consumption and output in the first half of 2016 was forcasted. Finally according to the enterprise monthly data and forecast data, the energy-saving potentials in 2015 and the first half of 2016 were analyzed.
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