Open AccessMining and Analyzing “Multi-Meters in One” Comprehensive Energy Data
Author(s) -
Zhelong Wang,
Yan Du,
Liang Guo,
Hongwei Guo,
Zhen Jing,
Zhe Li,
Huiping Zhu,
Jie Yang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/719/1/012021
Subject(s) - energy consumption , energy (signal processing) , consumption (sociology) , computer science , environmental economics , government (linguistics) , engineering , economics , social science , linguistics , statistics , philosophy , mathematics , sociology , electrical engineering
In the present paper, the massive comprehensive energy data was utilized to establish energy consumption analysis model, energy consumption suggestion model, energy consumption loss model, vacant household discrimination, holiday energy consumption analysis model, and so on. The comprehensive energy data was fully excavated, which can guide customers to use energy scientifically, help enterprises to save energy and reduce losses, and provide data support for government decision-making.