Optimization and rain forecasing with Matlab
Budget: $30 – $250 USD
The technology of rainfall prediction is important to guarantee the safety of citizens.
Compared to the single algorithms, the hybrid ones always have better performance in the wind speed
predictions. In this paper, the three most important decomposing algorithms [Wavelet Decomposition –
WD/Wavelet Packet Decomposition – WPD/Empirical Mode Decomposition – EMD] and the latest ecomposing algorithm [Fast Ensemble Empirical Mode Decomposition – FEEMD] are all adopted to realize the wind speed high-precision predictions with two representative networks [MLP Neural Network/ANFIS
Neural Network].
Error checking (accuracy percentage %)
Details will be provided on request.
For reference, you can check a similar work for wind forecasting.
https://www.sciencedirect.com/science/article/pii/S0196890414008619
Compared to the single algorithms, the hybrid ones always have better performance in the wind speed
predictions. In this paper, the three most important decomposing algorithms [Wavelet Decomposition –
WD/Wavelet Packet Decomposition – WPD/Empirical Mode Decomposition – EMD] and the latest ecomposing algorithm [Fast Ensemble Empirical Mode Decomposition – FEEMD] are all adopted to realize the wind speed high-precision predictions with two representative networks [MLP Neural Network/ANFIS
Neural Network].
Error checking (accuracy percentage %)
Details will be provided on request.
For reference, you can check a similar work for wind forecasting.
https://www.sciencedirect.com/science/article/pii/S0196890414008619
Related categories:
MATLAB