Simplified-Boost Reinforced Model-Based Complex Wind Signal Forecasting

Table 5

Multistep forecasting performance of dataset C.

Dataset C	RMSE (Pa)			MAE (Pa)			MAPE (%)
Model	1 step	3 steps	5 steps	1 step	3 steps	5 steps	1 step	3 steps	5 steps
DT	0.806	0.789	0.939	0.660	0.614	0.700	0.843	0.786	0.895
RF	0.728	0.759	0.944	0.606	0.588	0.717	0.775	0.753	0.916
BPNN	0.644	0.722	0.878	0.516	0.557	0.672	0.661	0.713	0.859
RNN	1.209	0.872	0.924	0.998	0.673	0.738	1.279	0.860	0.944
GRU	0.759	0.943	1.078	0.621	0.736	0.847	0.795	0.944	1.080
LSTM	0.854	0.896	0.912	0.645	0.697	0.719	0.828	0.892	0.917
Proposed	0.636	0.696	0.734	0.522	0.543	0.550	0.668	0.697	0.704
Dataset C	SMAPE (%)			R			MASE
Model	1 step	3 steps	5 steps	1 step	3 steps	5 steps	1 step	3 steps	5 steps
DT	0.843	0.787	0.898	0.886	0.888	0.831	1.338	0.932	0.937
RF	0.775	0.754	0.918	0.903	0.892	0.829	1.236	0.906	0.935
BPNN	0.660	0.714	0.862	0.917	0.899	0.847	1.070	0.870	0.905
RNN	1.267	0.882	0.946	0.881	0.881	0.847	1.961	1.030	0.951
GRU	0.797	0.944	1.085	0.895	0.836	0.811	1.293	1.111	1.193
LSTM	0.831	0.892	0.919	0.872	0.870	0.842	1.315	1.061	0.980
Proposed	0.668	0.698	0.705	0.921	0.907	0.892	1.080	0.808	0.694