Forecasting Energy CO2 Emissions Using a Quantum Harmony Search Algorithm-Based DMSFE Combination Model

Forecasting Energy CO2 Emissions Using a Quantum Harmony Search Algorithm-Based DMSFE Combination Model

he accurate forecasting of carbon dioxide (CO2) emissions from fossil fuel energy consumption is a key requirement for making energy policy and environmental strategy. In this paper, a novel quantum harmony search (QHS) algorithm-based discounted mean square forecast error (DMSFE) combination model...

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Bibliographic Details
Main Authors: Xingsheng Gu, Wei Sun, Hong Chang
Format: Article
Language:English
Published: MDPI AG 2013-03-01
Series:Energies
Subjects:
fossil fuel energy
CO2 emissions
quantum harmony search algorithm
discounting factor
combination forecasting method
Online Access:http://www.mdpi.com/1996-1073/6/3/1456

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