Analysis on innovation management of power financial transaction strategy integrating BO-BERT-GRNN model

Frontiers in Energy Research

Energy Research

Jiaqi Guo¹  Ling Shen²  Mengzhu Zhang³ 

[1] International College, Zhengzhou University, Zhengzhou, China;School of Law, Humanities and Sociology, Wuhan University of Technology, Wuhan, China;School of Management and Economics, Beijing Institute of Technology, Beijing, China;

关键词: BO;    GRNN;    BERT;    intelligent grid;    financial trading strategies innovation Frontiers;   

DOI  :  10.3389/fenrg.2023.1269059

 received in 2023-07-29, accepted in 2023-09-18,  发布年份 2023

来源: Frontiers

【 摘 要 】

This paper addresses the innovation management problem of financial trading strategies for power system planning through the utilization of the BO-BERT-GRNN model. The BO-BERT-GRNN model, which combines Bayesian optimization, BERT model, and gated recurrent neural network, is divided into three parts to optimize hyperparameters, extract features from historical data, and model and predict power system planning. The objective is to achieve electricity asset allocation, market risk management, and revenue maximization. Experimental analysis demonstrates that the BO-BERT-GRNN model outperforms in power system planning price prediction, energy transaction risk management, and energy asset allocation, showcasing its potential for practical application. This paper addresses the innovation management problem of financial trading strategies for power system planning through the utilization of the BO-BERT-GRNN model. The BO-BERT-GRNN model, which combines Bayesian optimization, BERT model, and gated recurrent neural network, is divided into three parts to optimize hyperparameters, extract features from historical data, and model and predict power system planning. The objective is to achieve electricity asset allocation, market risk management, and revenue maximization. Experimental analysis demonstrates that the BO-BERT-GRNN model outperforms in power system planning price prediction, energy transaction risk management, and energy asset allocation, showcasing its potential for practical application.

【 授权许可】

Unknown   
Copyright © 2023 Zhang, Shen and Guo.