Short-term wind speed forecasting using empirical mode decomposition and feature selection-Reference-Cited by-同舟云学术

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Short-term wind speed forecasting using empirical mode decomposition and feature selection

Published:2016-10 Issue: Volume:96 Page:727-737
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zhang Chi,Wei Haikun,Zhao Junsheng,Liu Tianhong,Zhu Tingting,Zhang Kanjian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference37 articles.

1. Short-term wind speed forecasting for power system operations;Zhu;Int. Stat. Rev.,2012

2. Wind energy: forecasting challenges for its operational management;Pinson;Stat. Sci.,2013

3. Technical challenges associated with the integration of wind power into power systems;Georgilakis;Renew. Sustain. Energy Rev.,2008

4. Current status and future advances for wind speed and power forecasting;Jung;Renew. Sustain. Energy Rev.,2014

5. The State-of-the-Art in Short-term Prediction of Wind Power: a Literature Overview;Giebel,2011

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