## 3 Materials and Methods
\[\frac{V}{V_{0}}=\left(\frac{H}{H_{0}}\right)^{\alpha} \tag{1}\]  
In Equation (1), \(V_{0}\) is the wind speed value for the TSMS station at a 10 m height, \(H\) is the height at which the wind speed is desired, \(\alpha\) is the friction coefficient determined according to the roughness of the surface at the station where the wind is measured, and \(V\) is the wind speed value at the height desired. \(H_{0}\) was taken as 10 m, at which the TSMS wind speeds were measured. Table 4 shows the land use characteristics and friction coefficients used in the study [47]. A CORINE land cover map was obtained from the Copernicus Services inventory to obtain the friction coefficients for the locations of the TSMS stations [44]. The land cover class for the locations of the stations was matched with the appropriate class among the roughness classes used in the wind speed calculations, and the speed values of that station at a height of 100 m were calculated with the help of Equation (1). The reason for choosing \begin{table}
\begin{tabular}{c c} \hline \hline
**Land Use Characteristic** & **Friction Coefficient** \\  & **(\(\alpha\))** \\ \hline Smooth hard ground, calm water & 0.10 \\ Tall grass on level ground & 0.15 \\ High crops, hedges, and shrubs & 0.20 \\ Wooded countryside, many trees & 0.25 \\ Small town with trees and shrubs & 0.30 \\ Large city with tall buildings & 0.40 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Friction coefficient for different land use characteristics [47]. Figure 4: The geographical distribution of TSMS stations. a height of 100 m here is that the height of the turbine hubs in currently installed wind power plants is close to this value. In this way, the total installed wind power capacity and the calculated wind power potential can be compared more meaningfully. After calculating the wind speeds at a 100 m height, interpolation between 32 TSMS stations was carried out with the inverse distance weighting (IDW) method to create a wind speed map of the Balikesir Province using the ArcMap software. The IDW interpolation method is based on the principle that the weights decrease as the area being interpolated gets further from the known sample points. ArcMap is a GIS software that has the capability to collect, store, analyze, and present geo-spatial, attribute, and metadata. According to [PERSON] [48], the IDW method was determined as the most appropriate interpolation method compared to the kriging, natural neighbor, spline, and trend methods. The measured wind speed values of the TSMS stations were compared with the values obtained using the interpolation methods. Root mean square error (RMSE) values obtained from the comparison of the measured wind speed values and the values obtained using the interpolation method were calculated for each interpolation method. The RMSE value of the IDW method was calculated as 0.008 m/s, which was the minimum RMSE value between these five methods. When the RMSE values of the other interpolation methods were examined, the order from the lowest to highest RMSE values appeared as the natural neighbor, spline, kriging, and trend methods [48]. The wind speed map of the Balikesir Province at a height of 100 m was produced with 200 \(\times\) 200 m cells using the IDW method under the raster interpolation tool in the ArcMap software, which is a GIS software (Figure 5). In addition, the extract by mask function of GIS tools was performed to produce wind speed maps of the districts in the Balikesir Province. All of the produced wind speed maps are in raster data format. The number of wind turbines that can be installed in a certain area was determined to calculate the wind energy potential at a height of 100 m. In this process, an equation was produced that gives the number of turbines that can be installed in a certain area, taking into account two rows side by side and a layout plan along the route, depending on the rules of the Regulation on the Technical Evaluation of Wind Source Based Electricity Generation Applications in Turkey [49].