E3S Web Conf.
Volume 252, 20212021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|Number of page(s)||4|
|Section||Energy Technology Research and Development and Green Energy-Saving Applications|
|Published online||23 April 2021|
- Chi Y L. (2008) Research on China’s Wind Power Industry Development Based on the Perspective of Low-Carbon Economy. Jilin University. [Google Scholar]
- Werner S. (1984) The Heat Load in District Heating Systems. Stockholm: Chalmers University of Technology. [Google Scholar]
- Wang SY, Jiang YC, Fang X M, Liu LT, Zheng R Y. (2011) Appropriate heating technology based on heating data mining and load forecasting[J]. HVAC, 41(07): 1–5. [Google Scholar]
- Matteo C, Stefano P C, Marco F. (2008) Energy demand for space heating through a statistical approach: application to residential buildings. Energy and Buildings, 40(10): 1972–1983. [Google Scholar]
- Liu Y. (2020) Research on heating load forecasting method based on wavelet neural network and support vector machine. Northeast Dianli University. [Google Scholar]
- Li R, Hao X J, Fu B, Wang L X, Sun Z Y, Dong Y.(2018) Analysis and prediction methods of influencing factors of thermal load of urban thermal power stations. District Heating, (04): 25–29. [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.