select windplant_no, gamma, cost, nu, space_dim, train_samp_count, forgett_factor, pcurve_flag, wind_data_souces, corr_flag, high_posit_error, high_negat_error, mid_posit_error, mid_negat_error, low_posit_error, low_negat_error, ap_yc_no, wspeed_yc_no, wdir_yc_no, tem_yc_no, ye_yc_no, me_yc_no, e_yc_no, avg_wspeed_yc_no, avg_wdir_yc_no, avg_tem_yc_no, avg_pre_yc_no, avg_hum_yc_no, pcurve_stat_time, prediction_time, day_stat_time, month_stat_time from wpusp_svr_para and windplant_no = #{windplantNo} and gamma = #{gamma} and cost = #{cost} and nu = #{nu} and space_dim = #{spaceDim} and train_samp_count = #{trainSampCount} and forgett_factor = #{forgettFactor} and pcurve_flag = #{pcurveFlag} and wind_data_souces = #{windDataSouces} and corr_flag = #{corrFlag} and high_posit_error = #{highPositError} and high_negat_error = #{highNegatError} and mid_posit_error = #{midPositError} and mid_negat_error = #{midNegatError} and low_posit_error = #{lowPositError} and low_negat_error = #{lowNegatError} and ap_yc_no = #{apYcNo} and wspeed_yc_no = #{wspeedYcNo} and wdir_yc_no = #{wdirYcNo} and tem_yc_no = #{temYcNo} and ye_yc_no = #{yeYcNo} and me_yc_no = #{meYcNo} and e_yc_no = #{eYcNo} and avg_wspeed_yc_no = #{avgWspeedYcNo} and avg_wdir_yc_no = #{avgWdirYcNo} and avg_tem_yc_no = #{avgTemYcNo} and avg_pre_yc_no = #{avgPreYcNo} and avg_hum_yc_no = #{avgHumYcNo} and pcurve_stat_time = #{pcurveStatTime} and prediction_time = #{predictionTime} and day_stat_time = #{dayStatTime} and month_stat_time = #{monthStatTime} where windplant_no = #{windplantNo}