Title :
A Study of Energy Statistics Based on Energy-Tree
Author :
Xiwei, Ren ; Anling, Song
Author_Institution :
Shaanxi Univ. of Sci. & Technol., Xian, China
fDate :
July 31 2012-Aug. 2 2012
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 conservation; energy consumption; recursive estimation; reliability; statistical analysis; trees (mathematics); corporate energy consumption reduction; energy consumption reliable method; energy statistics; energy-tree model; energy-tree recursive statistics; enterprise direction optimization; enterprise efficiency; many-to-many relationship; national energy policy; parent-child relationship; Coal; Electricity; Energy consumption; Monitoring; Production facilities; Reliability; Statistical analysis; Energy Management; Energy-Saving; Energy-Tree; Statistics of Energy Consumption;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
DOI :
10.1109/ICDMA.2012.30