Short-term prediction of wind power with a clustering approach-Reference-Cited by-同舟云学术

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Short-term prediction of wind power with a clustering approach

Published:2010-10 Issue:10 Volume:35 Page:2362-2369
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Kusiak Andrew,Li Wenyan

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference19 articles.

1. Sustainable energy technologies;Kuik,2007

2. Wind farm power prediction: a data-mining approach;Kusiak;Wind Energy,2009

3. A review on the forecasting of wind speed and generated power;Ma;Renewable and Sustainable Energy Reviews,2009

4. A review on the young history of the wind power short-term prediction;Alexandre;Renewable and Sustainable Energy Reviews,2008

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1. Dynamic Clustering of Wind Turbines Using SCADA Signal Analysis;Energies;2024-05-23

2. Wind Mapping of Malaysia Using Ward’s Clustering Method;Energies;2024-03-25

3. Wind speed and wind power forecasting models;Energy & Environment;2024-01-31

4. Day-Ahead Parametric Probabilistic Forecasting of Wind and Solar Power Generation Using Bounded Probability Distributions and Hybrid Neural Networks;IEEE Transactions on Sustainable Energy;2023-10

5. A Review of Wind Clustering Methods Based on the Wind Speed and Trend in Malaysia;Energies;2023-04-12

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