Visualized calculation of regional power grid power data based on multiple linear regression equation
- Autores: Kun-Huang Chen, Xinghua Wang, Daniyal M. Alghazzawi, Yanfeng Wang
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 1, 2022, págs. 93-102
- Idioma: inglés
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Resumen
The power generation of distributed power generation systems in regional power grids is mainly affected by externalenvironmental factors, and there are volatility and intermittent power generation issues. This paper establishes a relativelysimple multiple linear regression prediction model to predict grid-connected photovoltaic power generation systems. Thearticle uses a hybrid modelling method to filter more important weather forecast input variables through a step-by-steplinear regression method to realize the visual calculation of power data. The research results show that the multiple linearregression equation methods proposed in the article have pervasive application value in the actual application of solarphotovoltaic power consumption data
