Abstract—In this paper, a Higher Order Wavelet Neural Net- work (HOWNN) trained with an Extended Kalman Filter (EKF) is implemented to solve the wind ...

In this paper, a Higher Order Wavelet Neural Network (HOWNN) trained with an Extended Kalman Filter (EKF) is implemented to solve the wind forecasting ...

In this paper, a Higher Order Wavelet Neural Net- work (HOWNN) trained with an Extended Kalman Filter (EKF) is implemented to solve the wind forecasting ...

Feb 4, 2023 · The aims of this study are to propose a wavelet function, as well as to compare ANN and wavelet-ANN to determine the most appropriate models.

In this paper, we propose a high order neural network (HONN) trained with an extended Kalman filter based algorithm to predict wind speed.

This paper investigates the difficult balance between model complexity and forecasting accuracy in wind speed forecasting using Artificial Neural Networks (ANNs) ...

In the present paper, the Kalman filter is analysed in order to find the best configuration for wind speed and wind power forecast.

Apr 28, 2022 · At present, the main learning methods include wavelet analysis, support vector machine (SVM), and neural network. Higher-order SVM based on ...

Higher Order Wavelet Neural Networks with Kalman learning for wind speed forecasting · L. J. RicaldeGlendy A. CatzinA. AlanisE. Sánchez. Computer Science ...

Jan 10, 2022 · The proposed KF based hybrid provides accurate wind speed forecasts for both onshore and offshore wind data.