Energy Price Prediction Integrated with Singular Spectrum Analysis and Long Short-Term Memory Network against the Background of Carbon Neutrality

In the context of international carbon neutrality, energy prices are affected by several nonlinear and nonstationary factors, making it challenging for traditional forecasting models to predict energy prices effectively. The existing literature mainly uses linear models or a combination of multiple...

Full description

Bibliographic Details

Published in:	Energies
Main Authors:	Di Zhu, Yinghong Wang, Fenglin Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Subjects:	carbon neutral energy price neural network LSTM
Online Access:	https://www.mdpi.com/1996-1073/15/21/8128