Research Article
Research and Application of Electricity Price Prediction Model Based on Big Data Analysis
@INPROCEEDINGS{10.4108/eai.8-12-2023.2344704, author={Yue Shi and Yihan Zhang and Jiangbo Wang and Junhui Liu and Yao Lu and Shuo Yin and Mingshun Ji}, title={Research and Application of Electricity Price Prediction Model Based on Big Data Analysis}, proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2024}, month={4}, keywords={big data analysis; electricity price forecast; improvement of de-svm}, doi={10.4108/eai.8-12-2023.2344704} }- Yue Shi
Yihan Zhang
Jiangbo Wang
Junhui Liu
Yao Lu
Shuo Yin
Mingshun Ji
Year: 2024
Research and Application of Electricity Price Prediction Model Based on Big Data Analysis
MSIEID
EAI
DOI: 10.4108/eai.8-12-2023.2344704
Abstract
Based on the analysis of big data price prediction model, refers to the big data technology, on the basis of using big data technology analysis ability, effectively improve the price prediction model is scientific and logical, to get more accurate price forecast structure, and applied to the electric power enterprise, realize the purpose of improving electric power enterprise economic efficiency and power supply efficiency. Due to the large amount of information of electricity price data, there is no management between most samples and characteristics. In the input process, such redundant data may lead to the prediction of low accuracy prediction, and may increase the actual prediction time. Then, the research and application of the electricity price prediction model based on big data analysis has high research value and application significance. It can start from the basis of big data analysis and effectively improve the electricity price prediction model on the basis of big data analysis, so as to achieve the purpose of promoting the development of the power industry and enterprises.