## 4 Discussion
### Significance Test between Forecasting Values and Actual Data
However, when the wind power forecasting values obtained with each model and the actual data were compared with the Wilcoxon rank-sum test result, they were found to represent two different samples at the 5% significance level. Based on these results, the wind speed forecasting accuracy was deemed to be higher than the wind power forecasting accuracy. \begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Period**} & \multirow{2}{*}{**Site**} & \multirow{2}{*}{**Test**} & \multicolumn{6}{c}{**Wind Speed**} & \multicolumn{6}{c}{**Wind Power**} \\ \cline{3-10}  & & & **MODA-** & **MODA-** & **MODA-** & **MODA-** & **MODA-** & **MODA-** & **MODA-** & **MODA-** \\  & & & **CM2** & **CM3** & **CM4** & **CM5** & **CM2** & **CM3** & **CM4** & **CM5** \\ \hline \multirow{8}{*}{First Sensor} & Site 1 & DM Test & 15.5146 \({}^{*}\) & 14.8602 \({}^{*}\) & 12.4159 \({}^{*}\) & - & 8.5860 \({}^{*}\) & 8.6528 \({}^{*}\) & 6.6730 \({}^{*}\) & - \\  & & WRS Test & 0.696 (1) & 0.6998 (1) & 0.7299 (1) & 0.7249 (1) & 0.6832 (1) & 0.6988 (1) & 0.7095 (1) & 0.7203 (1) \\  & & DM Test & 13.1674 \({}^{*}\) & 11.5685 \({}^{*}\) & 10.0139 \({}^{*}\) & - & 10.0496 \({}^{*}\) & 5.9269 \({}^{*}\) & 7.9863 \({}^{*}\) & - \\  & & WRS Test & 0.8018 (1) & 0.7791 (1) & 0.7916 (1) & 0.7953 (1) & 0.8747 (1) & 0.8722 (1) & 0.8702 (1) & 0.8683 (1) \\  & & DM Test & 14.0858 \({}^{*}\) & 13.7322 \({}^{*}\) & 13.5449 \({}^{*}\) & 8.2746 \({}^{*}\) & 8.6871 \({}^{*}\) & 9.6449 \({}^{*}\) & - \\  & & WRS Test & 0.6724 (1) & 0.6695 (1) & 0.6935 (1) & 0.7111 (1) & 0.6868 (1) & 0.6717 (1) & 0.6756 (1) & 0.6817 (1) \\  & & DM Test & 12.2121 \({}^{*}\) & 12.7376 \({}^{*}\) & 10.0009 \({}^{*}\) & - & 9.9215 \({}^{*}\) & 9.9850 \({}^{*}\) & 8.2886 \({}^{*}\) & - \\  & & WRS Test & 0.9996 (1) & 0.9902 (1) & 0.9747 (1) & 0.9904 (1) & 0.8323 (1) & 0.8339 (1) & 0.8323 (1) & 0.8319 (1) \\ \hline \multirow{8}{*}{Seconds} & Site 1 & DM Test & 18.1848 \({}^{*}\) & 15.6849 \({}^{*}\) & 15.0379 \({}^{*}\) & - & 11.2257 \({}^{*}\) & 11.2726 \({}^{*}\) & 10.0365 \({}^{*}\) & - \\  & & WRS Test & 0.8078 (1) & 0.8047 (1) & 0.8094 (1) & 0.8068 (1) & 0.8876 (1) & 0.878 (1) & 0.8706 (1) & 0.8809 (1) \\  & & DM Test & 13.8823 \({}^{*}\) & 15.1337 \({}^{*}\) & 12.4642 \({}^{*}\) & 7.0921 \({}^{*}\) & 0.4666 \({}^{*}\) & 7.3349 \({}^{*}\) & - \\  & & WRS Test & 0.72479 (1) & 0.7767 (1) & 0.792 (1) & 0.7608 (1) & 0.7528 (1) & 0.7378 (1) & 0.7216 (1) & 0.7325 (1) \\  & & DM Test & 17.6655 \({}^{*}\) & 16.8552 \({}^{*}\) & 14.6886 \({}^{*}\) & - & 11.4051 \({}^{*}\) & 12.2241 \({}^{*}\) & 9.1368 \({}^{*}\) & - \\  & & WRS Test & 0.5999 (1) & 0.6083 (1) & 0.613 (1) & 0.6217 (1) & 0.9473 (1) & 0.942 (1) & 0.9483 (1) & 0.9398 (1) \\  & & Site 4 & DM Test & 12.3603 \({}^{*}\) & 13.1989 \({}^{*}\) & 10.3810 \({}^{*}\) & - & 8.9026 \({}^{*}\) & 8.8885 \({}^{*}\) & 0.8061 \({}^{*}\) & - \\  & & WRS Test & 0.7159 (1) & 0.706 (1) & 0.6962 (1) & 0.7048 (1) & 0.831 (1) & 0.8319 (1) & 0.8204 (1) & 0.8272 (1) \\ \hline \multirow{8}{*}{Third Sensor} & Site 1 & DM Test & 10.2836 \({}^{*}\) & 10.0742 \({}^{*}\) & 8.1850 \({}^{*}\) & - & 10.4397 \({}^{*}\) & 10.0330 \({}^{*}\) & 7.9945 \({}^{*}\) & - \\  & & WRS Test & 0.8255 (1) & 0.8297 (1) & 0.8435 (1) & 0.8549 (1) & 0.5071 (1) & 0.8986 (1) & 0.8983 (1) & 0.8948 (1) \\ \cline{1-1}  & & DM Test & 12.8066 \({}^{*}\) & 14.1692 \({}^{*}\) & 9.9269 \({}^{*}\) & - & 5.8617 \({}^{*}\) & 5.7684 \({}^{*}\) & 7.1332 \({}^{*}\) & - \\ \cline{1-1}  & & WRS Test & 0.8133 \({}^{*}\) & 0.8018 (1) & 0.7958 (1) & 0.8084 (1) & 0.5977 (1) & 0.9449 (1) & 0.9404 (1) & 0.9437 (1) \\ \cline{1-1}  & & WRS Test & 14.2602 \({}^{*}\) & 14.8542 \({}^{*}\) & 12.3259 \({}^{*}\) & 12.2050 \({}^{*}\) & 12.1284 \({}^{*}\) & 1.07953 \({}^{*}\) & - \\ \cline{1-1}  & & WRS Test & 0.6149 \({}^{*}\) & 10.6449 (1) & 0.647 (1) & 0.666 (1) & 0.6954 (1) & 0.7037 (1) & 0.707 (1) & 0.7183 (1) \\ \cline{1-1}  & & DM Test & 9.8375 \({}^{*}\) & 9.9908 \({}^{*}\) & 9.1