Quaternion-valued short term forecasting of wind profile

Cheong Took, C, Mandic, DP and Aihara, K (2010) Quaternion-valued short term forecasting of wind profile

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Abstract

This work presents novel methodology for the simultaneous modelling and forecasting of three-dimensional (3D) wind fields. This is achieved based on a quaternion domain wind model, which naturally accounts for the coupling between the dimensions of the 3D wind field. The proposed quaternion valued processing also facilitates the fusion of external atmospheric parameters, such as air temperature, exhibiting more degrees of freedom and enhanced accuracy. The quaternion least mean square (QLMS) algorithm and its variants are used for short term adaptive forecasting, and a rigorous comparative study with the corresponding algorithms in ℝ is performed. Simulations for different wind regimes and over a range of prediction horizons support the approach. © 2010 IEEE.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Cheong Took, C, Mandic, DP and Aihara, K
Date :	2010
DOI :	10.1109/IJCNN.2010.5596690
Depositing User :	Symplectic Elements
Date Deposited :	28 Mar 2017 14:12
Last Modified :	23 Jan 2020 12:55
URI:	http://epubs.surrey.ac.uk/id/eprint/739347

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