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Prediction, operations, and condition monitoring in wind energy

Journal

ENERGY
Volume 60, Issue -, Pages 1-12

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2013.07.051

Keywords

Wind energy; Wind speed prediction; Wind turbine control; Condition monitoring and fault detection

Funding

  1. Iowa Energy Center [07-01]
  2. City University [7200314]

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Recent developments in wind energy research including wind speed prediction, wind turbine control, operations of hybrid power systems, as well as condition monitoring and fault detection are surveyed. Approaches based on statistics, physics, and data mining for wind speed prediction at different time scales are reviewed. Comparative analysis of prediction results reported in the literature is presented. Studies of classical and intelligent control of wind turbines involving different objectives and strategies are reported. Models for planning operations of different hybrid power systems including wind generation for various objectives are addressed. Methodologies for condition monitoring and fault detection are discussed. Future research directions in wind energy are proposed. (C) 2013 Elsevier Ltd. All rights reserved.

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