Long-Term Battery Voltage, Power, and Surface Temperature Prediction Using a Model-Based Extreme Learning Machine †

Author： Tang Xiaopeng   Yao Ke   Liu Boyang   Hu Wengui   Gao Furong  

Publisher： MDPI

E-ISSN： 1996-1073|11|1|86-86

ISSN： 1996-1073

Source： Energies, Vol.11, Iss.1, 2018-01, pp. : 86-86

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

Long-Term Streamflow Forecasting Based on Relevance Vector Machine Model

By Liu Yong   Sang Yan-Fang   Li Xinxin   Hu Jian   Liang Kang  

Water, Vol. 9, Iss. 1, 2016-12 ,pp. : 9-9

MDPI

Access to resources Recommend Favorite

Power Quality Event Detection Using a Fast Extreme Learning Machine

By Ucar Ferhat   Alcin Omer F.   Dandil Besir   Ata Fikret  

Energies, Vol. 11, Iss. 1, 2018-01 ,pp. : 145-145

MDPI

Access to resources Recommend Favorite

A Novel Hybrid Strategy Using Three-Phase Feature Extraction and a Weighted Regularized Extreme Learning Machine for Multi-Step Ahead Wind Speed Prediction

By Wang Jujie   Wang Yanfeng   Li Yaning  

Energies, Vol. 11, Iss. 2, 2018-02 ,pp. : 321-321

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

Comparative Analysis of Voltage Control in Battery Power Converters for Inverter-Based AC Microgrids

By Chae Woo-Kyu   Won Jong-Nam   Lee Hak-Ju   Kim Jae-Eon   Kim Jaehong  

Energies, Vol. 9, Iss. 8, 2016-07 ,pp. : 596-596

MDPI

Access to resources Recommend Favorite