Short-term prediction of wind power with a clustering approach

Andrew Kusiak; Wenyan Li

doi:10.1016/j.renene.2010.03.027

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JOURNAL ARTICLE

Short-term prediction of wind power with a clustering approach

Andrew Kusiak Wenyan Li

Year: 2010 Journal: Renewable Energy Vol: 35 (10)Pages: 2362-2369 Publisher: Elsevier BV

DOI: 10.1016/j.renene.2010.03.027

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Keywords:

Cluster analysis Wind power Term (time) Computer science Data mining Set (abstract data type) Data set Wind speed Machine learning Artificial intelligence Engineering Meteorology Geography

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Icing and De-icing Technologies

Physical Sciences → Engineering → Aerospace Engineering

Wind Energy Research and Development

Physical Sciences → Engineering → Aerospace Engineering

Short-term prediction of wind power with a clustering approach

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