Prospect Prediction of Terminal Clean Power Consumption in China via LSSVM Algorithm Based on Improved Evolutionary Game Theory

Prospect Prediction of Terminal Clean Power Consumption in China via LSSVM Algorithm Based on Improved Evolutionary Game Theory

In recent years, China’s terminal clean power replacement construction has experienced rapid development, and China’s installed photovoltaic and wind energy capacity has soared to become the highest in the world. Precise and effective prediction of the scale of terminal clean power replacement can n...

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Bibliographic Details
Main Authors: Shuxia Yang, Xianguo Zhu, Shengjiang Peng
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
terminal clean power consumption forecast
grey relevance theory
evolutionary game theory
adaptive differential evolution
least squares support vector machine
Online Access:https://www.mdpi.com/1996-1073/13/8/2065

Internet

https://www.mdpi.com/1996-1073/13/8/2065

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