A Multi Time Scale Wind Power Forecasting Model of a Chaotic Echo State Network Based on a Hybrid Algorithm of Particle Swarm Optimization and Tabu Search

Author： Xu Xiaomin   Niu Dongxiao   Fu Ming   Xia Huicong   Wu Han  

Publisher： MDPI

E-ISSN： 1996-1073|8|11|12388-12408

ISSN： 1996-1073

Source： Energies, Vol.8, Iss.11, 2015-11, pp. : 12388-12408

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method

By Chang Wen-Yeau  

Energies, Vol. 6, Iss. 9, 2013-09 ,pp. : 4879-4896

MDPI

Access to resources Recommend Favorite

Forecasting Annual Power Generation Using a Harmony Search Algorithm-Based Joint Parameters Optimization Combination Model

By Sun Wei   Wang Jingmin   Chang Hong  

Energies, Vol. 5, Iss. 10, 2012-10 ,pp. : 3948-3971

MDPI

Access to resources Recommend Favorite

Wind Power Forecasting Based on Echo State Networks and Long Short-Term Memory

By López Erick   Valle Carlos   Allende Héctor   Gil Esteban   Madsen Henrik  

Energies, Vol. 11, Iss. 3, 2018-02 ,pp. : 526-526

MDPI

Access to resources Recommend Favorite

Optimal Energy Management Strategy of a Plug-in Hybrid Electric Vehicle Based on a Particle Swarm Optimization Algorithm

By Chen Zeyu   Xiong Rui   Wang Kunyu   Jiao Bin  

Energies, Vol. 8, Iss. 5, 2015-04 ,pp. : 3661-3678

MDPI

Access to resources Recommend Favorite

Inverse Modeling of Soil Hydraulic Parameters Based on a Hybrid of Vector-Evaluated Genetic Algorithm and Particle Swarm Optimization

By Li Yi-Bo   Liu Ye   Nie Wei-Bo   Ma Xiao-Yi  

Water, Vol. 10, Iss. 1, 2018-01 ,pp. : 84-84

MDPI

Access to resources Recommend Favorite