Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping
Photovoltaic (PV) power generation is of great significance to the energy reform in China. In order to better grid-connect PV, maximize the utilization of light resources, and reduce the adverse effects on the power grid due to the uncertainty and randomness of light energy, we need to study the pow...
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| Published in | E3S web of conferences Vol. 423; p. 1009 |
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| Main Author | |
| Format | Journal Article Conference Proceeding |
| Language | English |
| Published |
Les Ulis
EDP Sciences
01.01.2023
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Photovoltaic (PV) power generation is of great significance to the energy reform in China. In order to better grid-connect PV, maximize the utilization of light resources, and reduce the adverse effects on the power grid due to the uncertainty and randomness of light energy, we need to study the power generation of PV. This paper discusses the factors affecting the efficiency of PV power generation and the related prediction algorithms in the light of current literature and further uses software to optimize the algorithm for PV prediction. |
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| AbstractList | Photovoltaic (PV) power generation is of great significance to the energy reform in China. In order to better grid-connect PV, maximize the utilization of light resources, and reduce the adverse effects on the power grid due to the uncertainty and randomness of light energy, we need to study the power generation of PV. This paper discusses the factors affecting the efficiency of PV power generation and the related prediction algorithms in the light of current literature and further uses software to optimize the algorithm for PV prediction. |
| Author | Li, Zihan |
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| ContentType | Journal Article Conference Proceeding |
| Copyright | 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.1051/e3sconf/202342301009 |
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| Title | Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping |
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