Exploration on the Development of Photovoltaic Power Generation Path in China Based on the Goal of “Double Carbon”

Authors

  • Yan Zhang
  • Liyuan Wang
  • Siying Jing
  • Baike Wang

DOI:

https://doi.org/10.54097/g0p62315

Keywords:

Power supply forecast, Photovoltaic power generation, Dynamic programming model, Particle swarm optimization

Abstract

Electric energy is an economic, practical, clean, and easy to control and transform the form of energy, power industry in the national economy occupies a very important position. This paper focuses on the prediction of the development trend of power supply, analyzes the current situation of domestic power supply by selecting relevant indicators, predicts the development trend of power supply in 2024-2060, and discusses the main influencing factors of its development. At the same time, a dynamic programming model is established, particle swarm optimization is used to initially explore the maximum value of China's total photovoltaic power generation and the impact of related economic and policy factors on the total power generation, and the relevant conclusions are given.

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References

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Wang Denghai, An Yuexin, Liao Chenbo, et al. Research on photovoltaic power generation prediction method based on CNN-LSTM hybrid neural network [J]. Journal of Xi 'an Shiyou University (Natural Science Edition), 2019, 39(01):129-134.

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Published

27-05-2024

Issue

Section

Articles

How to Cite

Zhang, Y., Wang, L., Jing, S., & Wang, B. (2024). Exploration on the Development of Photovoltaic Power Generation Path in China Based on the Goal of “Double Carbon”. Frontiers in Business, Economics and Management, 15(2), 315-322. https://doi.org/10.54097/g0p62315

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