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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2013-03-01
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Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/6/3/1456 |