Open Access
E3S Web Conf.
Volume 236, 2021
3rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
Article Number 01003
Number of page(s) 6
Section Development, Utilization and Protection of Traditional Energy Resources
Published online 09 February 2021
  1. J. Wang. Shaoxing: Serving high-quality economic development with environmental protection[J]. Environmental Education, 10, 45-47, (2020) [Google Scholar]
  2. W.W. Xu. Research on the high-quality development path of Shaoxing economy[J]. Statistical Science and Practice, 7, 45-48, (2020). [Google Scholar]
  3. W.Z.Wang. Research and application of optimization of power forecasting hybrid model algorithm for multi-source influencing factors[D]. Beijing University of Technology, (2019). [Google Scholar]
  4. Y.B.Wang. Comprehensive forecasting method of monthly electricity consumption based on time series decomposition method and regression analysis method [D]. Shenyang Institute of Technology, (2019). [Google Scholar]
  5. Y. Luo, Y. Zhang, J. R. Ren. Y.W.Zhu, Y.S.Yu, K.W. Li. Research on the Disparity of Residential Electricity Consumption in Various Regions of Zhejiang Province——A Thear Coefficient Perspective [A]. Zhejiang Electric Power Society 2018 Excellent Proceedings [C]. 6, (2018). [Google Scholar]
  6. L.F. Dong. Research on the market strategy of the electricity sales business of Shaoxing Power Supply Company under the background of electric power reform[D]. North China Electric Power University (Beijing), (2017). [Google Scholar]
  7. Z. Zhang. Research on data-driven short- and medium-term power demand forecasting optimization learning method[D]. Hefei University of Technology, (2015). [Google Scholar]
  8. H.Shao. Electricity must go first if the economy is to develop-the reform of the Shaoxing Electric Power Bureau in Zhejiang Province[J]. Market Observation, 11, 36-37, (1997). [Google Scholar]

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