A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks

A Carbon Price Forecasting Model Based on Variational Mode Decomposition and Spiking Neural Networks

Accurate forecasting of carbon price is important and fundamental for anticipating the changing trends of the energy market, and, thus, to provide a valid reference for establishing power industry policy. However, carbon price forecasting is complicated owing to the nonlinear and non-stationary char...

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Bibliographic Details
Main Authors: Guoqiang Sun, Tong Chen, Zhinong Wei, Yonghui Sun, Haixiang Zang, Sheng Chen
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Energies
Subjects:
carbon price forecasting
variational mode decomposition (VMD)
spiking neural network (SNN)
partial autocorrelation function (PACF)
comprehensive evaluation criteria
Online Access:http://www.mdpi.com/1996-1073/9/1/54

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http://www.mdpi.com/1996-1073/9/1/54

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