Predicting wind power variability events using different statistical methods driven by regional atmospheric model output-Reference-Cited by-同舟云学术

Predicting wind power variability events using different statistical methods driven by regional atmospheric model output

Published:2014-07-02 Issue:9 Volume:18 Page:1611-1628
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energ.

Author:

Ellis Nick¹^ORCID,Davy Robert²,Troccoli Alberto²

Affiliation:

1. Commonwealth Scientific and Industrial Research Organisation (CSIRO); Ecosciences Precinct, GPO Box 2583 Brisbane QLD 4001 Australia

2. Pye Laboratory; Commonwealth Scientific and Industrial Research Organisation (CSIRO); GPO Box 3023, Clunies Ross Street Canberra ACT 2601 Australia

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Reference45 articles.

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4. Grid integration of wind farms;Tande;Wind Energy,2003

5. Ela E Kirby B ERCOT Event on February 26, 2008: lessons learned, national renewable energy laboratory 1617 Cole Blvd 2008 http://www.nrel.gov/docs/fy08osti/43373.pdf

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