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A novel application of an analog ensemble for short-term wind power forecasting

  • Published:2015-04 Issue: Volume:76 Page:768-781
  • ISSN:0960-1481
  • Container-title:Renewable Energy
  • language:en
  • Short-container-title:Renewable Energy

Author:

Alessandrini S.,Delle Monache L.,Sperati S.,Nissen J.N.

Funder

U.S. Army

National Science Foundation

Italian Electrical System

Italian Ministry of Economic Development

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference49 articles.

1. A wind power forecasting system to optimize grid integration;Mahoney;Special Issue IEEE Trans Sustain Energy Appl Wind Energy Power Syst,2012

2. Forecasting the wind to reach significant penetration levels of wind energy;Marquis;Bull Amer Meteor Soc,2011

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

4. Local linear regression with adaptive orthogonal fitting for the wind power application;Pinson;Stat Comput,2008

5. The state-of-the-art in short-term prediction of wind power: a literature overview;Giebel,2011

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