Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm

Forecasting of Energy Consumption in China Based on Ensemble Empirical Mode Decomposition and Least Squares Support Vector Machine Optimized by Improved Shuffled Frog Leaping Algorithm

For social development, energy is a crucial material whose consumption affects the stable and sustained development of the natural environment and economy. Currently, China has become the largest energy consumer in the world. Therefore, establishing an appropriate energy consumption prediction model...

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Bibliographic Details
Main Authors: Shuyu Dai, Dongxiao Niu, Yan Li
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Applied Sciences
Subjects:
energy consumption forecasting
improved shuffled frog leaping algorithm
least squares support vector machine
ensemble empirical mode decomposition
Online Access:http://www.mdpi.com/2076-3417/8/5/678

Internet

http://www.mdpi.com/2076-3417/8/5/678

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