Open Access
Issue
ITM Web Conf.
Volume 25, 2019
2018 3rd International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2018)
Article Number 02007
Number of page(s) 3
Section Information Systems
DOI https://doi.org/10.1051/itmconf/20192502007
Published online 01 February 2019
  1. Hu Jie, Meixue. Study on energy conservation and emission reduction control system based on big data technology [J]. Qinghai social science, 2014 (06): 75-79+177. [Google Scholar]
  2. Yang Changqing. Data collection and management of energy saving and emission reduction control system under big data technology [J]. Automation and instrumentation, 2017 (11): 185-186+190. [Google Scholar]
  3. Wang Qixiang, Zhou Chunlei, Sun Zuozhu. Research on distributed computing framework of energy saving and emission reduction monitoring system based on big data platform [J]. Science and technology communication, 2016, 8 (01): 108-109+178. [Google Scholar]
  4. Qi Juan. "big data" helps traffic pollution control and emission reduction --establishment of the first traffic energy conservation and emission reduction laboratory in Beijing, Tianjin and Hebei [J]. World of transportation managers, 2015 (21): 42-44. [Google Scholar]
  5. Fu Juanjuan, Lin Guolong. Energy saving and emission reduction measures for port shipping industry in the era of big data [J]. Transportation enterprise management, 2017, 32 (03): 4-6. [Google Scholar]
  6. Qiu Haiping. Intelligent heat grid promotes heat supply enterprises to achieve energy saving and emission reduction [J]. Energy saving and environmental protection, 2017 (10): 64-66. [Google Scholar]
  7. Wang Qixiang. Data collection and management of energy conservation and emission reduction control system under big data technology [J]. Science and technology wind, 2018 (32): 84. [Google Scholar]
  8. Hu Lianghao. Research on the application of energy consumption supervision model based on data mining in the campus energy conservation supervision platform [D]. Anhui university, 2016. [Google Scholar]
  9. Zhu Baiqing, Lu Haixing, Li Dongbo. Design and development of forging production scheduling system for energy saving and emission reduction [J]. Machinery design and manufacturing, 2013, 11: 35-38 [Google Scholar]
  10. Li Dan. China tower energy management system supports the development of base station energy saving and emission reduction based on Internet of things and big data technology [A]. Communication power committee of Chinese communication society. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.