Paper
15 January 2024 Research on forecasting the development of counties and cities in Jilin province based on data mining algorithms
Peiguang Chen, Zihao Tian, Ziheng Wang, Yiwen Jiang, Jizhe Dong
Author Affiliations +
Proceedings Volume 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023); 129830G (2024) https://doi.org/10.1117/12.3016916
Event: Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 2023, Wuhan, China
Abstract
With the continuous growth of China's national economy, the development of the countryside is facing unprecedented opportunities and challenges. This paper is based on Python language, under the big data of electric power, to study the development of rural revitalization and make predictions from the perspective of the electric power industry by combining more than twenty aspects such as Gross Domestic Product (GDP), enterprise income tax and rural electricity consumption of counties and cities in Jilin Province. Firstly, this paper collects economic data and electric power data of counties and cities, constructs multidimensional datasets, and applies data mining methods for data mining analysis and prediction model construction. Second, we use machine learning algorithms such as clustering and classification to analyze and predict the development trend of electric power big data. Finally, we assess the development of rural revitalization and provide useful suggestions and insights by analyzing and predicting electric power big data and its related indicators in counties and cities.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Peiguang Chen, Zihao Tian, Ziheng Wang, Yiwen Jiang, and Jizhe Dong "Research on forecasting the development of counties and cities in Jilin province based on data mining algorithms", Proc. SPIE 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 129830G (15 January 2024); https://doi.org/10.1117/12.3016916
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Data modeling

Algorithm development

Machine learning

Data mining

Random forests

Analytical research

Performance modeling

Back to Top