Visualized calculation of regional power grid power data based on multiple linear regression equation

• Published in: Applied mathematics and nonlinear sciences Vol. 7; no. 1; pp. 93 - 102
• Main Authors: Chen, Kun, Wang, Xinhua, Alghazzawi, Daniyal M., Wang, Yanfeng
• Format: Journal Article
• Language: English
• Published: Sciendo 01.01.2022
• Subjects: 62J05; multiple linear regression; photovoltaic power generation data; power data visualization; regional power grid
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns.2021.1.00054

The power generation of distributed power generation systems in regional power grids is mainly affected by external environmental factors, and there are volatility and intermittent power generation issues. This paper establishes a relatively simple multiple linear regression prediction model to predict grid-connected photovoltaic power generation systems. The article uses a hybrid modelling method to filter more important weather forecast input variables through a step-by-step linear regression method to realize the visual calculation of power data. The research results show that the multiple linear regression equation methods proposed in the article have pervasive application value in the actual application of solar photovoltaic power consumption data.