| Issue |
E3S Web Conf.
Volume 423, 2023
2023 7th International Workshop on Renewable Energy and Development (IWRED 2023)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 7 | |
| Section | Biomass Energy Conversion and Power Generation System Application | |
| DOI | https://doi.org/10.1051/e3sconf/202342301009 | |
| Published online | 08 September 2023 | |
Prediction of Photovoltaic Power Based on SSA-BP Algorithm with Chaotic Mapping
Shanghai DianJi University , university of business studies, Shanghai, China
* Corresponding author: 1580641907@qq.com
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.
© The Authors, published by EDP Sciences, 2023
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