Wind speed forecast correction models using polynomial neural networks-Reference-Cited by-同舟云学术

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Wind speed forecast correction models using polynomial neural networks

Published:2015-11 Issue: Volume:83 Page:998-1006
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Zjavka Ladislav

Funder

IT4Innovations Centre of Excellence project

Research and Development for Innovations Operational Programme

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference33 articles.

1. Dynamical properties of mos forecasts: analysis of the ecmwf operational forecasting system;Vannitsem;Weather Forecast,2008

2. A hybrid statistical method to predict wind speed and wind power;Liu;Renew Energy,2010

3. Implementation of a model output statistics based on meteorological variable screening for short-term wind power forecast;Ranaboldo;Wind Energy,2013

4. Estimating and correcting global weather model error;Danforth;Mon Weather Rev,2007

5. Reducing errors of wind speed forecasts by an optimal combination of post-processing methods;Sweeney;Meteorol Appl,2013

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