Open Access
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
Article Number 03027
Number of page(s) 4
Section Energy Technology Research and Development and Green Energy-Saving Applications
Published online 23 April 2021
  1. Chi Y L. (2008) Research on China’s Wind Power Industry Development Based on the Perspective of Low-Carbon Economy. Jilin University. [Google Scholar]
  2. Werner S. (1984) The Heat Load in District Heating Systems. Stockholm: Chalmers University of Technology. [Google Scholar]
  3. 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]
  4. 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]
  5. Liu Y. (2020) Research on heating load forecasting method based on wavelet neural network and support vector machine. Northeast Dianli University. [Google Scholar]
  6. 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]

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