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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
Research article (Applied Sciences, 2018) · cited 21× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-of-energy-consumption-in-china-based-on-ensemble-empirical-mode-decomposition-and-least-squares-support-vect
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-of-energy-consumption-in-china-based-on-ensemble-empirical-mode-decomposition-and-least-squares-support-vect.
BibTeX@misc{4ortxyz_forecasting-of-energy-consumption-in-china-based-on-ensemble-empirical-mode-decomposition-and-least-squares-support-vect_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-of-energy-consumption-in-china-based-on-ensemble-empirical-mode-decomposition-and-least-squares-support-vect}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/forecasting-of-energy-consumption-in-china-based-on-ensemble-empirical-mode-decomposition-and-least-squares-support-vect (retrieved 2026-05-24)
