An Integrated SVM-LSTM Method for VPP Resource Classification and Load Forecasting in Real-time Market Trading

An Integrated SVM-LSTM Method for VPP Resource Classification and Load Forecasting in Real-time Market Trading

The operation of virtual power plants in the electricity market requires handling complex resource scheduling and market trading decision-making problems. The research aims to enhance the participation efficiency and responsiveness of virtual power plants in the electricity market and solve practica...

Full description

Saved in:
Bibliographic Details
Main Authors: He Zhao, Yucheng Hou, Zhifa Lin, Xin Cao, Xiao Yu
Format: Article
Language:English
Published: University of Zagreb Faculty of Electrical Engineering and Computing 2024-01-01
Series:Journal of Computing and Information Technology
Subjects:
virtual power plant
market trading
machine learning
SVM
LSTM
Online Access:https://hrcak.srce.hr/file/471978
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://hrcak.srce.hr/file/471978

Similar Items