Wind power interval and point prediction model using neural network based multi-objective optimization

Author:

Zhu Jianhua,He YaoyaoORCID,Gao Zhiwei

Funder

Anhui Provincial Natural Science Foundation

Science Fund for Distinguished Young Scholars of Anhui Province

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

Reference54 articles.

1. Power system flexibility: an overview of emergence to evolution;Alireza;J Mod Power Syst Clean Energy,2019

2. International energy agency,2021

3. Robust neural network fault estimation approach for nonlinear dynamic systems with applications to wind turbine systems;Rahimilarki;IEEE Trans Ind Inf,2019

4. Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine;Rahimilarki;Renew Energy,2021

5. Global wind report 2022,2022

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