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Building a prediction model of solar power generation based on improved Grey Markov Chain

Author

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  • Chongyu Cui
  • Zhaoxia Li
  • Junjie Zhang

Abstract

In order to improve the prediction ability and reliability management ability of solar power generation, a solar power generation prediction model based on Improved Grey Markov chain is proposed. The constrained parameter model of solar power generation prediction is established, and the disturbance characteristics of solar power generation are analysed. On this basis, the improved grey Markov chain model is applied to the big data fusion analysis of solar power generation, and the reliability prediction of solar power generation is realised. The results show that the prediction accuracy of this method is high, up to 1, which improves the quality and stability of output power, and has certain application value.

Suggested Citation

  • Chongyu Cui & Zhaoxia Li & Junjie Zhang, 2022. "Building a prediction model of solar power generation based on improved Grey Markov Chain," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 44(2/3), pages 139-149.
    • Handle: RePEc:ids:ijgeni:v:44:y:2022:i:2/3:p:139-149
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