Short-term Load Forecasting Based on SOM-BP and Prophet Hybrid Model

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Electricity Market | 更新时间：2025-10-13

- Short-term Load Forecasting Based on SOM-BP and Prophet Hybrid Model
- “In the field of short-term load forecasting in the power system, experts have proposed a prediction method based on self-organizing mapping feedforward neural network and predictive hybrid model, which effectively improves the prediction accuracy and has advantages in overcoming historical data loss and fitting non working day load curves.”
- Modern Electric Power Vol. 42, Issue 2, Pages: 352-359(2025)
- 作者机构：
  
  1.四川大学电气工程学院, 四川省成都市 610065
  2.国网山西电力科学研究院, 山西省太原市 030000
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0036
  CLC： TM73
- Received：09 February 2023，
  
  Accepted：04 August 2023，
  
  Published：10 April 2025
- 稿件说明：
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Yuhang CHEN, Yuhong WANG, Lu NAN, et al. Short-term Load Forecasting Based on SOM-BP and Prophet Hybrid Model[J]. Modern electric power, 2025, 42(2): 352-359.
DOI：

Yuhang CHEN, Yuhong WANG, Lu NAN, et al. Short-term Load Forecasting Based on SOM-BP and Prophet Hybrid Model[J]. Modern electric power, 2025, 42(2): 352-359. DOI： 10.19725/j.cnki.1007-2322.2023.0036.

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