Research on new energy prediction based on artificial intelligence

New energy power prediction is a core key technology to reduce the impact of wind power and photovoltaic stochasticity. To this end, a new energy power prediction system based on artificial intelligence technology is established, which can accurately predict the new energy portfolio composed of wind power and photovoltaic. Firstly, elaborates artificial intelligence technology. Secondly, a short-term prediction system for wind and PV is established for the characteristics of wind and PV prediction, respectively. Finally, the power prediction of wind and PV is realized by the new energy power prediction system based on artificial intelligence technology. The results show that the improvement of the short-term power prediction accuracy of wind and solar systems is realized

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/epee63731.2024.10875164
Citations
1
Primary Topic
Educational and Technological Research
Type
article
Field-Weighted Citation Impact
0.78
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Research on new energy prediction based on artificial intelligence

Dongsheng Xu, Zeyi Huang, Xiang Li, Zhaoyu Li et al.
1 citations
Educational and Technological Research
0.78
article

Research on new energy prediction based on artificial intelligence

Dongsheng Xu, Zeyi Huang, Xiang Li, Zhaoyu Li, Bo Lü
article en
1 citations

Abstract

New energy power prediction is a core key technology to reduce the impact of wind power and photovoltaic stochasticity. To this end, a new energy power prediction system based on artificial intelligence technology is established, which can accurately predict the new energy portfolio composed of wind power and photovoltaic. Firstly, elaborates artificial intelligence technology. Secondly, a short-term prediction system for wind and PV is established for the characteristics of wind and PV prediction, respectively. Finally, the power prediction of wind and PV is realized by the new energy power prediction system based on artificial intelligence technology. The results show that the improvement of the short-term power prediction accuracy of wind and solar systems is realized

China Power Engineering Consulting Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 17%
Educational and Technological Research
0.78
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