Prediction and optimization scheduling of wind and solar new energy generation based on big data
In order to ensure the efficient operation of the power transmission system, reduce the daily maintenance costs of the power grid, and thus improve the security and stability of the power grid, it is necessary to correctly and optimally calculate the power of wind energy and photovoltaics. power generation.. This paper provides a brief introduction to the characteristics of electricity generation and photovoltaics, and a brief description and analysis of new wind and solar forecasting models based on RBF neural networks to achieve accurate and efficient forecasting of wind and solar power. and reduce the problems that arise during the production and use of energy.
Authors
- Zhong Liu (ORCID: https://orcid.org/0000-0001-8150-7556)
Institutions
- Powerchina Huadong Engineering Corporation (China) (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/sges63808.2024.10824194
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00