<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Grid Planning & Research Center, Guangdong Power Grid Corporation, CSG

Department of Information Systems, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The power generation of distributed power generation systems in regional power grids is mainly affected by external environmental factors, and there are...

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

Online veröffentlicht: 15. Dez. 2021

Seitenbereich: 93 - 102

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00054

Schlüsselwörter
regional power grid, multiple linear regression, power data visualization, photovoltaic power generation data

© 2021 Kun Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 15. Dez. 2021

Seitenbereich: 93 - 102

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00054

Schlüsselwörterregional power grid, multiple linear regression, power data visualization, photovoltaic power generation data

© 2021 Kun Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
regional power grid, multiple linear regression, power data visualization, photovoltaic power generation data