Title :
A Statistical Method of Energy Consumption Based on Energy-Tree
Author :
Xiwei, Ren ; Gongchang, Ren ; Fan, Yang ; Anling, Song
Author_Institution :
Shaanxi Univ. of Sci. & Technol., Xian, China
Abstract :
Combined with the national energy policy and the actual project requirements, the author studies a statistical method of energy consumption based on energy-tree, in order to reduce corporate energy consumption, improve enterprise efficiency and optimize enterprise direction. Firstly, the author establishes energy-tree model that includes an entity tree that solid parent-child relationship between entities and a table that solid many-to-many relationship between entities and energies. Secondly, the author studies energy-tree recursive statistics. Finally, the author applies the research result to actual projects. Practice shows that the statistical method of energy consumption based on energy-tree is an efficient and reliable method of energy consumption.
Keywords :
energy consumption; government policies; statistical analysis; energy consumption; energy policy; energy-tree model; energy-tree recursive statistics; enterprise efficiency; statistical method; Energy Management; Energy-Saving; Energy-Tree; Statistics of Energy Consumption;
Conference_Titel :
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location :
Haiko
Print_ISBN :
978-1-4244-8683-0
DOI :
10.1109/ICOIP.2010.260