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Predicting primary energy consumption using hybrid arima and ga-svr based on eemd decomposition
Yu Sheng Kao, Kazumitsu Nawata,
Chi Yo Huang
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此作品的通信作者
工業教育學系
研究成果
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雜誌貢獻
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期刊論文
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同行評審
36
引文 斯高帕斯（Scopus）
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Earth and Planetary Sciences
Decomposition
100%
Hybrid
100%
Primary Energy Consumption
100%
Support
40%
Investigation
40%
Average
40%
Model
40%
Energy Consumption
40%
Genetic Algorithm
40%
Regression
40%
Prediction
20%
Feasibility
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Time Series
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Precision
20%
Energy Management
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Definition
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Economy
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Energy Policy
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INIS
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energy consumption
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hybrids
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decomposition
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vectors
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genetic algorithms
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hybrid systems
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nonlinear problems
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energy management
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Autoregressive Integrated Moving Average
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empirical mode decomposition
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Economics, Econometrics and Finance
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