A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition-Reference-Cited by-同舟云学术

A cascaded deep learning wind power prediction approach based on a two-layer of mode decomposition

Published:2019-12 Issue: Volume:189 Page:116316
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Yin Hao,Ou Zuhong,Huang Shengquan,Meng Anbo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference39 articles.

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3. A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting;Niu;Appl Energy,2019

4. Novel multi-step short-term wind power prediction framework based on chaotic time series analysis and singular spectrum analysis;Safari;IEEE Trans Power Syst,2018

5. ARMA based approaches for forecasting the tuple of wind speed and direction;Erdem;Appl Energy,2011

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