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

Author： López Erick   Valle Carlos   Allende Héctor   Gil Esteban   Madsen Henrik  

Publisher： MDPI

E-ISSN： 1996-1073|11|3|526-526

ISSN： 1996-1073

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

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

Echo State Network with Bayesian Regularization for Forecasting Short-Term Power Production of Small Hydropower Plants

By Li Gang   Li Bao-Jian   Yu Xu-Guang   Cheng Chun-Tian  

Energies, Vol. 8, Iss. 10, 2015-10 ,pp. : 12228-12241

MDPI

Access to resources Recommend Favorite

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

A Fuzzy Group Forecasting Model Based on Least Squares Support Vector Machine (LS-SVM) for Short-Term Wind Power

By Zhang Qian   Lai Kin Keung   Niu Dongxiao   Wang Qiang   Zhang Xuebin  

Energies, Vol. 5, Iss. 9, 2012-09 ,pp. : 3329-3346

MDPI

Access to resources Recommend Favorite

An Advanced Bayesian Method for Short-Term Probabilistic Forecasting of the Generation of Wind Power

By Bracale Antonio   De Falco Pasquale  

Energies, Vol. 8, Iss. 9, 2015-09 ,pp. : 10293-10314

MDPI

Access to resources Recommend Favorite

Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks

By Hernandez Luis   Baladrón Carlos   Aguiar Javier M.   Carro Belén   Sanchez-Esguevillas Antonio J.   Lloret Jaime  

Energies, Vol. 6, Iss. 3, 2013-03 ,pp. : 1385-1408

MDPI

Access to resources Recommend Favorite