Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network-Reference-Cited by-同舟云学术

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Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network

Published:2019-04 Issue: Volume:133 Page:919-929
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Qu Zongxi,Mao Wenqian,Zhang Kequan,Zhang Wenyu,Li Zhipeng

Funder

National Natural Science Foundation of China

Central Universities

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference20 articles.

1. A review on the forecasting of wind speed and generated power;Lei;Renew. Sustain. Energy Rev.,2009

2. State-of-the-Art on methods and software tools for short-term prediction of wind energy production;Giebel;Energy,2010

3. The State-of-the-art in Short-term Prediction of Wind Power;Version,2011

4. Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China;Wang;Renew. Energy,2015

5. Research and application of ensemble forecasting based on a novel multi- objective optimization algorithm for wind-speed forecasting;Qu;Energy Convers. Manag.,2017

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