A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting-Reference-Cited by-同舟云学术

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

Published:2017-07 Issue: Volume:143 Page:360-376
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Zhang Chu,Zhou Jianzhong,Li Chaoshun,Fu Wenlong,Peng Tian

Funder

National Key Research

Development Program of China

Key Program of the Major Research Plan of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference32 articles.

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3. Comparison of numerical weather prediction based deterministic and probabilistic wind resource assessment methods;Zhang;Appl Energy,2015

4. Linear and non-linear autoregressive models for short-term wind speed forecasting;Lydia;Energy Convers Manage,2016

5. Wind speed prediction using a univariate ARIMA model and a multivariate NARX model;Cadenas;Energies,2016

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