## 3 Results
### Comparison with Actual Data
#### 3.3.3 Comparison with Power Output
The release of thermal energy from the ocean appears to change the magnitude or shape of wind shear or thermal convection, and these movements appear to affect REWS. Figure 12: Comparison of the wind speed/power output at each turbine location simulated by REWS and HHWS, and the SCADA actual data: (**a**) A01; (**b**) A02; (**c**) A03; (**d**) B01; and (**e**) C01 wind turbine. Blue colored solid line and stick represent REWS, while red colored solid line and stick mean HHWS, and gray colored solid line and stick mean SCADA data. To see monthly changes rather than annual averages, we examine the characteristics of November, December, and January, when the temperature is generally low, and the trends in May, June, and July, when the temperature is high. In Figure 14, the solid red line is the error between the actual power generation and the HHWS-based simulated power generation, while the blue line is the REWS-based result. The gray solid line represents the wind speed difference between REWS and HHWS. In the season when the temperature is low, the variation in the error rate between the simulated power generation and the actual power generation amount does not appear to be significant. Additionally, the error rate between the simulated power generation of HHWS and REWS does not appear to show a significant difference. The difference in wind speed between REWS and HHWS decreases in the afternoon, which is the same in the low and high seasons. However, in the season of high temperature, the generation error rate shows a completely different pattern. \begin{table}
\begin{tabular}{c c c c c c c c c c c c c c c c c c c c c c c c c c} \hline \hline \multicolumn{1}{c}{**Time (LST)**} & **0** & **1** & **2** & **3** & **4** & **5** & **6** & **7** & **8** & **9** & **10** & **11** & **12** & **13** & **14** & **15** & **16** & **17** & **18** & **19** & **20** & **21** & **22** & **23** \\ \hline \multirow{2}{*}{\(>\)Actual Power} & REWS & \(\bullet\) & \(\bullet\) & & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & & & & & & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \(\bullet\) & \\ \cline{2-19}  & HHWS & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & \\ \hline \multirow{2}{*}{Abs. Diff.} & REWS & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & \\ \cline{2-19}  & HHWS & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & \\ \hline \end{tabular}
\end{table} 
Table 8: The distribution of simulated wind speed when the simulated power output is higher than the actual power output, and the absolute difference with the actual power output is smaller. Figure 13: Changes in diurnal hourly error rate of the REWS-based and HHWS-based simulated power output, compared to the actual power output. The red bar shows the error between the actual power output and the HHWS-based power output, while the blue bar shows the error with the REWS. If the error rate is positive, this means that the actual power output is higher than the simulated power output. Compared to the low temperature season, the generation error rate changed significantly according to the time of day, and there were times when the same trend did not appear.