Research Article
Investment Demand Forecast for Grid Companies Based on Multiple Linear Regression Analysis
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334303, author={Yizheng Li and Junxian Ma and Lang Zhao and Xue Feng and Dong Peng and Haiqiong Yi}, title={Investment Demand Forecast for Grid Companies Based on Multiple Linear Regression Analysis}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={grid investment; investment demand forecast; investment impact factors; multiple linear regression analysis}, doi={10.4108/eai.19-5-2023.2334303} }- Yizheng Li
Junxian Ma
Lang Zhao
Xue Feng
Dong Peng
Haiqiong Yi
Year: 2023
Investment Demand Forecast for Grid Companies Based on Multiple Linear Regression Analysis
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334303
Abstract
Grid investment demand refers to the investment made by provincial power companies to ensure that strategic projects and decisions are steadily promoted, while building a safe and reliable grid according to the needs of social and economic development. First, the role of population, GDP, total energy consumption and total social electricity consumption on the investment demand of grid companies is analyzed. Secondly, the correlation between each influencing factor and grid investment demand is analyzed by Pearson correlation coefficient analysis, and then the key factors affecting grid investment demand are selected. Finally, combining the degree of influence of key factors, the future investment demand of grid companies is predicted by multiple regression prediction model.