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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> is performed. Simulations for different wind regimes and over a range of prediction horizons support the approach.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.