Hierarchical prediction of industrial water demand based on refined Laspeyres decomposition analysis.

@article{Shang2017HierarchicalPO,
  title={Hierarchical prediction of industrial water demand based on refined Laspeyres decomposition analysis.},
  author={Yizi Shang and Shibao Lu and Jiaguo Gong and Ling Shang and Xiaofei Li and Yongping Wei and Hongwang Shi},
  journal={Water science and technology : a journal of the International Association on Water Pollution Research},
  year={2017},
  volume={76 11-12},
  pages={
          2876-2887
        }
}
  • Yizi Shang, Shibao Lu, +4 authors H. Shi
  • Published 6 December 2017
  • Engineering
  • Water science and technology : a journal of the International Association on Water Pollution Research
A recent study decomposed the changes in industrial water use into three hierarchies (output, technology, and structure) using a refined Laspeyres decomposition model, and found monotonous and exclusive trends in the output and technology hierarchies. Based on that research, this study proposes a hierarchical prediction approach to forecast future industrial water demand. Three water demand scenarios (high, medium, and low) were then established based on potential future industrial structural… 
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