public void SweepGetRMSWithAdjModel_Test()
{
// Creates a model with modified values and an Model_Adj with adjustments that should equate to same model as modified values
// Calls SweepGetRMSWithAdjModel with the Model_Adj and calls Do_Met_Cross_Preds using the model with modified values.
// Compares the RMS error found from the two
Continuum thisInst = new Continuum("");
NodeCollection nodeList = new NodeCollection();
string Filename = testingFolder + "\\MetPairCollection Panhandle.cfm";
thisInst.Open(Filename);
// Clear other wind speed cross-predictions
for (int i = 0; i < thisInst.metPairList.PairCount; i++)
{
thisInst.metPairList.metPairs[i].WS_Pred = null;
}
int numWD = thisInst.metList.numWD;
// First create model with modified values and Model_Adj with modifying factors/values
Model[] Modified_UWDW = new Model[1];
Modified_UWDW[0] = new Model();
Modified_UWDW[0].SizeArrays(numWD);
Modified_UWDW[0].SetDefaultModelCoeffs(numWD);
Modified_UWDW[0].radius = 4000;
Modified_UWDW[0].metsUsed = thisInst.metList.GetMetsUsed();
Modified_UWDW[0].season = Met.Season.All;
Modified_UWDW[0].timeOfDay = Met.TOD.All;
Model[] defaultModel = new Model[1];
defaultModel[0] = new Model();
defaultModel[0].SizeArrays(numWD);
defaultModel[0].metsUsed = thisInst.metList.GetMetsUsed();
defaultModel[0].radius = 4000;
defaultModel[0].season = Met.Season.All;
defaultModel[0].timeOfDay = Met.TOD.All;
// Add WS Pred with Default model
for (int i = 0; i < thisInst.metPairList.PairCount; i++)
{
thisInst.metPairList.metPairs[i].AddWS_Pred(defaultModel);
}
MetPairCollection.Model_Adj Adj_UWDW = new MetPairCollection.Model_Adj();
thisInst.metPairList.SizeAdjModel(ref Adj_UWDW, numWD);
for (int i = 0; i < numWD; i++)
{
Modified_UWDW[0].downhill_A[i] = (0.5 + i / 10.0) * Modified_UWDW[0].downhill_A[i];
Adj_UWDW.DH_A_Adj[i] = (0.5 + i / 10.0);
Modified_UWDW[0].downhill_B[i] = (2 - i / 10.0) * Modified_UWDW[0].downhill_B[i];
Adj_UWDW.DH_B_Adj[i] = (2 - i / 10.0);
Modified_UWDW[0].uphill_A[i] = (0.5 + i / 10.0) * Modified_UWDW[0].uphill_A[i];
Adj_UWDW.UH_A_Adj[i] = (0.5 + i / 10.0);
Modified_UWDW[0].uphill_B[i] = (2 - i / 10.0) * Modified_UWDW[0].uphill_B[i];
Adj_UWDW.UH_B_Adj[i] = (2 - i / 10.0);
Modified_UWDW[0].UW_crit[i] = 10 + 2 * i;
Adj_UWDW.UW_Crit[i] = 10 + 2 * i;
Modified_UWDW[0].spdUp_A[i] = (0.5 + i / 10.0) * Modified_UWDW[0].spdUp_A[i];
Adj_UWDW.SU_A_Adj[i] = (0.5 + i / 10.0);
Modified_UWDW[0].spdUp_B[i] = (2 - i / 10.0) * Modified_UWDW[0].spdUp_B[i];
Adj_UWDW.SU_B_Adj[i] = (2 - i / 10.0);
Modified_UWDW[0].DH_Stab_A[i] = (0.5 + i / 10.0);
Adj_UWDW.DH_Stab_A[i] = (0.5 + i / 10.0);
Modified_UWDW[0].UH_Stab_A[i] = (3 - i / 10.0);
Adj_UWDW.UH_Stab_A[i] = (3 - i / 10.0);
Modified_UWDW[0].SU_Stab_A[i] = (0.2 + i / 5.0);
Adj_UWDW.SU_Stab_A[i] = (0.2 + i / 5.0);
}
double Sweep_get_RMS_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref defaultModel[0], Adj_UWDW, thisInst);
// Calculate met cross-prediction error using Modified_UWDW and compare to Sweep_get_RMS_Error
// Clear other wind speed cross-predictions
for (int i = 0; i < thisInst.metPairList.PairCount; i++)
{
thisInst.metPairList.metPairs[i].WS_Pred = null;
}
thisInst.modelList.AddModel(Modified_UWDW);
Pair_Of_Mets[] metPairs = thisInst.metPairList.metPairs;
double RMS_err = 0;
int RMS_Count = 0;
for (int i = 0; i < thisInst.metPairList.PairCount; i++)
{
metPairs[i].AddWS_Pred(Modified_UWDW);
int WS_PredInd = metPairs[i].GetWS_PredIndOneModel(Modified_UWDW[0], thisInst.modelList);
metPairs[i].DoMetCrossPred(WS_PredInd, 0, thisInst);
RMS_err = RMS_err + Math.Pow(metPairs[i].WS_Pred[WS_PredInd, 0].percErr[0], 2);
RMS_Count++;
RMS_err = RMS_err + Math.Pow(metPairs[i].WS_Pred[WS_PredInd, 0].percErr[1], 2);
RMS_Count++;
}
RMS_err = Math.Pow((RMS_err / (RMS_Count)), 0.5);
Assert.AreEqual(Sweep_get_RMS_Error, RMS_err);
thisInst.Close();
}
public void Sweep_a_Param_Test()
{
Continuum thisInst = new Continuum("");
NodeCollection nodeList = new NodeCollection();
string Filename = testingFolder + "\\MetPairCollection Panhandle.cfm";
thisInst.Open(Filename);
int numWD = thisInst.metList.numWD;
// For each Iter_type, call SweepGetRMSWithAdjModel and GetRMS_SectorErr for each value interval. Find Minimum Error
// Call Sweep_a_Param with same Iter_type and value intervals.
// Compare the adjusted model coefficients
// Used in Sweep_get_RMS_All_WD
MetPairCollection.Model_Adj This_Model_Adj_1 = new MetPairCollection.Model_Adj();
thisInst.metPairList.SizeAdjModel(ref This_Model_Adj_1, numWD);
// Used in Sweep_get_RMS_All_WD
MetPairCollection.Model_Adj This_Model_Adj_2 = new MetPairCollection.Model_Adj();
thisInst.metPairList.SizeAdjModel(ref This_Model_Adj_2, numWD);
MetPairCollection.Init_Params theseInitParams = new MetPairCollection.Init_Params();
double[] initCoeffs = new double[4]; // 0: Intercept 1: m_uw 2: m_dw 3: Rsq
MetPairCollection.MinMax_Expos theseMinMax = new MetPairCollection.MinMax_Expos();
thisInst.metPairList.InitMinMaxExpos(ref theseMinMax, numWD);
Model[] thisModel = new Model[1];
thisModel[0] = new Model();
thisModel[0].radius = 4000;
thisModel[0].metsUsed = thisInst.metList.GetMetsUsed();
thisModel[0].SizeArrays(numWD);
thisModel[0].SetDefaultModelCoeffs(numWD);
thisModel[0].season = Met.Season.All;
thisModel[0].timeOfDay = Met.TOD.All;
thisModel[0].height = 80;
for (int i = 0; i < thisInst.metPairList.PairCount; i++)
{
thisInst.metPairList.metPairs[i].WS_Pred = null;
thisInst.metPairList.metPairs[i].AddWS_Pred(thisModel);
}
Model defaultModel = new Model();
defaultModel.radius = 4000;
defaultModel.metsUsed = thisInst.metList.GetMetsUsed();
defaultModel.SizeArrays(numWD);
defaultModel.SetDefaultModelCoeffs(numWD);
defaultModel.season = Met.Season.All;
defaultModel.timeOfDay = Met.TOD.All;
defaultModel.height = 80;
thisInst.metPairList.Calc_MinMax_Expos(ref theseMinMax, thisInst.metList.GetAvgWindRose(thisInst.modeledHeight, Met.TOD.All, Met.Season.All), 0, thisInst.metList, thisModel[0]); // finds min/max UW expo (used to initialize UW crit), min/max sum of UWDW (used in flow separation model), avg P10 expo and min/max WS
//calculate linear regression to find initial coefficients
thisInst.metPairList.FindBestInitCoeffs(thisModel[0], ref theseInitParams, ref initCoeffs, thisInst.metList, 0, theseMinMax);
thisInst.metPairList.InitializeAdjModel(ref This_Model_Adj_1, numWD, theseInitParams, initCoeffs, thisModel[0], theseMinMax);
thisInst.metPairList.InitializeAdjModel(ref This_Model_Adj_2, numWD, theseInitParams, initCoeffs, thisModel[0], theseMinMax);
double Mid_Val_1 = 0;
double Mid_Val_2 = 0;
int Mid_Int = Convert.ToInt16((((2 - 0.2) / 0.2) + 1) / 2) - 1;
bool Error_Changed = false;
double Last_Error = 0;
// TEST 1
// Downhill flow A. Sweep params from 0.2 to 2 with interval = 0.2
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 10; i++)
{
double Val = 0.2 * i + 0.2;
This_Model_Adj_1.DH_A_Adj[WD_Ind] = Val * theseInitParams.DH / defaultModel.downhill_A[WD_Ind]; // B = 0
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.DH_A_Adj[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.DH_A_Adj[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
This_Model_Adj_1.DH_A_Adj[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 0.2f, 2, 0.2f, WD_Ind, "Downhill A", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.DH_A_Adj[WD_Ind], This_Model_Adj_2.DH_A_Adj[WD_Ind], 0.00001, "Wrong DH A coeff. WD_Ind = " + WD_Ind.ToString());
}
// TEST 2
// Uphill flow A. Sweep params from 0.2 to 2 with interval = 0.2
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 10; i++)
{
double Val = 0.2 * i + 0.2;
This_Model_Adj_1.UH_A_Adj[WD_Ind] = Val * Math.Abs(theseInitParams.UH) / defaultModel.uphill_A[WD_Ind]; // B = 0
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.UH_A_Adj[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.UH_A_Adj[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
This_Model_Adj_1.UH_A_Adj[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 0.2f, 2, 0.2f, WD_Ind, "Uphill A", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.UH_A_Adj[WD_Ind], This_Model_Adj_2.UH_A_Adj[WD_Ind], 0.00001, "Wrong UH A coeff. WD_Ind = " + WD_Ind.ToString());
}
// TEST 3
// UW Critical Exposure. Sweep params from 1 to 40 with interval = 4.875
Mid_Int = Convert.ToInt16((((40 - 1) / 4.875) + 1) / 2) - 1;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 9; i++)
{
double Val = 4.875 * i + 1;
This_Model_Adj_1.UW_Crit[WD_Ind] = Val;
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.UW_Crit[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.UW_Crit[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
This_Model_Adj_1.UW_Crit[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 1f, 40, 4.875f, WD_Ind, "UW Critical", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.UW_Crit[WD_Ind], This_Model_Adj_2.UW_Crit[WD_Ind], 0.00001, "Wrong UW Critical. WD_Ind = " + WD_Ind.ToString());
}
// TEST 4
// Speed-Up flow A. Sweep params from 0.65 to 1.5 with interval = 0.2
Mid_Int = Convert.ToInt16((((1.5 - 0.65) / 0.2) + 1) / 2) - 1;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 5; i++)
{
double Val = 0.2 * i + 0.65;
This_Model_Adj_1.SU_A_Adj[WD_Ind] = Val * Math.Abs(theseInitParams.SU) / defaultModel.spdUp_A[WD_Ind]; // B = 0;
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.SU_A_Adj[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.SU_A_Adj[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
This_Model_Adj_1.SU_A_Adj[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 0.65f, 1.5, 0.2f, WD_Ind, "SpdUp A", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.SU_A_Adj[WD_Ind], This_Model_Adj_2.SU_A_Adj[WD_Ind], 0.00001, "Wrong Speed-Up A. WD_Ind = " + WD_Ind.ToString());
}
// TEST 5
// Downhill Stability Factor. Sweep from 0 to 3 with interval = 0.5
Mid_Int = Convert.ToInt16((((3 - 0) / 0.5) + 1) / 2) - 1;
double Max_Int = 0;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 7; i++)
{
double Val = 0.5 * i;
This_Model_Adj_1.DH_Stab_A[WD_Ind] = Val;
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.DH_Stab_A[WD_Ind];
}
if (i == 6)
{
Max_Int = This_Model_Adj_1.DH_Stab_A[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.DH_Stab_A[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
if (Val_Min_1 == Max_Int)
{
Val_Min_1 = 5;
}
This_Model_Adj_1.DH_Stab_A[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 0, 3, 0.5f, WD_Ind, "DH Stability", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.DH_Stab_A[WD_Ind], This_Model_Adj_2.DH_Stab_A[WD_Ind], 0.00001, "Wrong Downhill Stability. WD_Ind = " + WD_Ind.ToString());
}
// TEST 6
// Uphill Stability Factor. Sweep from 0 to 3 with interval = 0.5
Mid_Int = Convert.ToInt16((((3 - 0) / 0.5) + 1) / 2) - 1;
Max_Int = 0;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 7; i++)
{
double Val = 0.5 * i;
This_Model_Adj_1.UH_Stab_A[WD_Ind] = Val;
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == 6)
{
Max_Int = This_Model_Adj_1.UH_Stab_A[WD_Ind];
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.UH_Stab_A[WD_Ind];
}
if (i == 6)
{
Max_Int = This_Model_Adj_1.UH_Stab_A[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.UH_Stab_A[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
if (Val_Min_1 == Max_Int)
{
Val_Min_1 = 5;
}
This_Model_Adj_1.UH_Stab_A[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 0, 3, 0.5f, WD_Ind, "UH Stability", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.UH_Stab_A[WD_Ind], This_Model_Adj_2.UH_Stab_A[WD_Ind], 0.00001, "Wrong Uphill Stability. WD_Ind = " + WD_Ind.ToString());
}
// TEST 7
// Speed-Up Stability Factor. Sweep from 0 to 3 with interval = 0.5
Mid_Int = Convert.ToInt16((((3 - 0) / 0.5) + 1) / 2) - 1;
Max_Int = 0;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
if (WD_Ind == 2)
{
WD_Ind = WD_Ind;
}
for (int i = 0; i < 7; i++)
{
double Val = 0.5 * i;
This_Model_Adj_1.SU_Stab_A[WD_Ind] = Val;
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.SU_Stab_A[WD_Ind];
}
if (i == 6)
{
Max_Int = This_Model_Adj_1.SU_Stab_A[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.SU_Stab_A[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
}
if (Val_Min_1 == Max_Int)
{
Val_Min_1 = 5;
}
This_Model_Adj_1.SU_Stab_A[WD_Ind] = Val_Min_1;
thisInst.metPairList.Sweep_a_Param(thisInst, 0, 3, 0.5f, WD_Ind, "SU Stability", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.SU_Stab_A[WD_Ind], This_Model_Adj_2.SU_Stab_A[WD_Ind], 0.00001, "Wrong Speed-Up Stability. WD_Ind = " + WD_Ind.ToString());
}
// TEST 8
// Downhill flow B Factor. Sweep from 0 to 1.4 with interval = 0.2
Mid_Int = Convert.ToInt16((((1.4 - 0) / 0.2) + 1) / 2) - 1;
int counter = 0;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
double Val_Min_2 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
if (WD_Ind == 3)
{
WD_Ind = WD_Ind;
}
for (int i = 0; i < 8; i++)
{
double Val = 0.2 * i;
// Calculates the coefficient at average P10 Expo and then alters B to change the slope but keep magnitude at Avg P10 Expo fixed
double Avg_Coeff = This_Model_Adj_1.DH_A_Adj[WD_Ind] * defaultModel.downhill_A[WD_Ind] * Math.Pow(theseMinMax.avgP10ExpoWD[WD_Ind], (This_Model_Adj_1.DH_B_Adj[WD_Ind] * defaultModel.downhill_B[WD_Ind]));
This_Model_Adj_1.DH_B_Adj[WD_Ind] = Val;
This_Model_Adj_1.DH_A_Adj[WD_Ind] = Avg_Coeff / defaultModel.downhill_A[WD_Ind] / (Math.Pow(theseMinMax.avgP10ExpoWD[WD_Ind], (defaultModel.downhill_B[WD_Ind] * This_Model_Adj_1.DH_B_Adj[WD_Ind])));
if (counter == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.DH_A_Adj[WD_Ind];
Mid_Val_2 = This_Model_Adj_1.DH_B_Adj[WD_Ind];
}
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.DH_A_Adj[WD_Ind];
Mid_Val_2 = This_Model_Adj_1.DH_B_Adj[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.DH_A_Adj[WD_Ind];
Val_Min_2 = This_Model_Adj_1.DH_B_Adj[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
Val_Min_2 = Mid_Val_2;
}
This_Model_Adj_1.DH_A_Adj[WD_Ind] = Val_Min_1;
This_Model_Adj_1.DH_B_Adj[WD_Ind] = Val_Min_2;
thisInst.metPairList.Sweep_a_Param(thisInst, 0, 1.4, 0.2f, WD_Ind, "Downhill B", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.DH_A_Adj[WD_Ind], This_Model_Adj_2.DH_A_Adj[WD_Ind], 0.00001, "Wrong Downhill A Test 8. WD_Ind = " + WD_Ind.ToString());
Assert.AreEqual(This_Model_Adj_1.DH_B_Adj[WD_Ind], This_Model_Adj_2.DH_B_Adj[WD_Ind], 0.00001, "Wrong Downhill B Test 8. WD_Ind = " + WD_Ind.ToString());
}
// TEST 9
// Uphill flow B Factor. Sweep from 0 to 1.4 with interval = 0.2
Mid_Int = Convert.ToInt16((((1.4 - 0) / 0.2) + 1) / 2) - 1;
counter = 0;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
double Val_Min_2 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 8; i++)
{
double Val = 0.2 * i;
// Calculates the coefficient at average P10 Expo and then alters B to change the slope but keep magnitude at Avg P10 Expo fixed
double Avg_Coeff = This_Model_Adj_1.UH_A_Adj[WD_Ind] * defaultModel.uphill_A[WD_Ind] * Math.Pow(theseMinMax.avgP10ExpoWD[WD_Ind], (This_Model_Adj_1.UH_B_Adj[WD_Ind] * defaultModel.uphill_B[WD_Ind]));
This_Model_Adj_1.UH_B_Adj[WD_Ind] = Val;
This_Model_Adj_1.UH_A_Adj[WD_Ind] = Avg_Coeff / defaultModel.uphill_A[WD_Ind] / (Math.Pow(theseMinMax.avgP10ExpoWD[WD_Ind], (defaultModel.uphill_B[WD_Ind] * This_Model_Adj_1.UH_B_Adj[WD_Ind])));
if (counter == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.UH_A_Adj[WD_Ind];
Mid_Val_2 = This_Model_Adj_1.UH_B_Adj[WD_Ind];
}
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.UH_A_Adj[WD_Ind];
Mid_Val_2 = This_Model_Adj_1.UH_B_Adj[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.UH_A_Adj[WD_Ind];
Val_Min_2 = This_Model_Adj_1.UH_B_Adj[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
Val_Min_2 = Mid_Val_2;
}
This_Model_Adj_1.UH_A_Adj[WD_Ind] = Val_Min_1;
This_Model_Adj_1.UH_B_Adj[WD_Ind] = Val_Min_2;
thisInst.metPairList.Sweep_a_Param(thisInst, 0, 1.4, 0.2f, WD_Ind, "Uphill B", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.UH_A_Adj[WD_Ind], This_Model_Adj_2.UH_A_Adj[WD_Ind], 0.00001, "Wrong Uphill A Test 9. WD_Ind = " + WD_Ind.ToString());
Assert.AreEqual(This_Model_Adj_1.UH_B_Adj[WD_Ind], This_Model_Adj_2.UH_B_Adj[WD_Ind], 0.00001, "Wrong Uphill B Test 9. WD_Ind = " + WD_Ind.ToString());
}
// TEST 10
// Speed-Up flow B Factor. Sweep from 0 to 1.4 with interval = 0.2
Mid_Int = Convert.ToInt16((((1.4 - 0) / 0.2) + 1) / 2) - 1;
counter = 0;
for (int WD_Ind = 0; WD_Ind < numWD; WD_Ind++)
{
double Min_Error = 1000;
double Val_Min_1 = 0;
double Val_Min_2 = 0;
Error_Changed = false;
Last_Error = 0;
Mid_Val_1 = 0;
for (int i = 0; i < 8; i++)
{
double Val = 0.2 * i;
// Calculates the coefficient at average P10 Expo and then alters B to change the slope but keep magnitude at Avg P10 Expo fixed
double Avg_Coeff = This_Model_Adj_1.SU_A_Adj[WD_Ind] * defaultModel.uphill_A[WD_Ind] * Math.Pow(theseMinMax.avgP10ExpoWD[WD_Ind], (This_Model_Adj_1.SU_B_Adj[WD_Ind] * defaultModel.spdUp_B[WD_Ind]));
This_Model_Adj_1.SU_B_Adj[WD_Ind] = Val;
This_Model_Adj_1.SU_A_Adj[WD_Ind] = Avg_Coeff / defaultModel.uphill_A[WD_Ind] / (Math.Pow(theseMinMax.avgP10ExpoWD[WD_Ind], (defaultModel.spdUp_B[WD_Ind] * This_Model_Adj_1.SU_B_Adj[WD_Ind])));
if (counter == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.SU_A_Adj[WD_Ind];
Mid_Val_2 = This_Model_Adj_1.SU_B_Adj[WD_Ind];
}
double This_Error = thisInst.metPairList.SweepGetRMSWithAdjModel(ref thisModel[0], This_Model_Adj_1, thisInst);
double Sect_Error = thisInst.metPairList.GetRMS_SectorErr(thisModel[0], WD_Ind);
if (Last_Error != 0 && Sect_Error != Last_Error)
{
Error_Changed = true;
}
if (i == Mid_Int)
{
Mid_Val_1 = This_Model_Adj_1.SU_A_Adj[WD_Ind];
Mid_Val_2 = This_Model_Adj_1.SU_B_Adj[WD_Ind];
}
if (Sect_Error < Min_Error)
{
Val_Min_1 = This_Model_Adj_1.SU_A_Adj[WD_Ind];
Val_Min_2 = This_Model_Adj_1.SU_B_Adj[WD_Ind];
Min_Error = Sect_Error;
}
Last_Error = Sect_Error;
}
if (Error_Changed == false)
{
Val_Min_1 = Mid_Val_1;
Val_Min_2 = Mid_Val_2;
}
This_Model_Adj_1.SU_A_Adj[WD_Ind] = Val_Min_1;
This_Model_Adj_1.SU_B_Adj[WD_Ind] = Val_Min_2;
thisInst.metPairList.Sweep_a_Param(thisInst, 0, 1.4, 0.2f, WD_Ind, "SpdUp B", ref thisModel[0], This_Model_Adj_2, theseMinMax.maxSumUWDW_ExpoWD, theseMinMax.avgP10ExpoWD, theseInitParams);
Assert.AreEqual(This_Model_Adj_1.SU_A_Adj[WD_Ind], This_Model_Adj_2.SU_A_Adj[WD_Ind], 0.00001, "Wrong Speed-Up A Test 10. WD_Ind = " + WD_Ind.ToString());
Assert.AreEqual(This_Model_Adj_1.SU_B_Adj[WD_Ind], This_Model_Adj_2.SU_B_Adj[WD_Ind], 0.00001, "Wrong Speed-Up B Test 10. WD_Ind = " + WD_Ind.ToString());
}
thisInst.Close();
}