A Gaussian process regression based hybrid approach for short-term wind speed prediction-Reference-Cited by-同舟云学术

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A Gaussian process regression based hybrid approach for short-term wind speed prediction

Published:2016-10 Issue: Volume:126 Page:1084-1092
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Zhang Chi,Wei Haikun,Zhao Xin,Liu Tianhong,Zhang Kanjian

Funder

National Natural Science Foundation of China

Major Program of 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

Reference47 articles.

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

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

3. Correction and downscaling of NWP wind speed forecasts;Howard;Meteorol Appl,2007

4. Wind speed and wind energy forecast through Kalman filtering of numerical weather prediction model output;Cassola;Appl Energy,2012

5. Extremely short-term wind speed prediction based on RSCMAC;Chiang,2013

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