public void UC02_FpiDataWithSsa()
{
double[] Fpi = new double[] {
64.1, 64.4, 63.8, 65.8, 64.4, 63.7, 62.5, 61.5, 61, 61.1, 61.9, 61.9, 60.8, 61.5, 62, 60.7, 60.6, 61, 61.8, 61.4, 62.1, 64.3, 64.4, 64, 64.8, 65.7, 66.1, 64.5, 64.8, 65.6, 64.4, 62.8, 63.5, 61.5, 62.4, 61, 61.3, 61.2, 62.9, 62.5, 62, 61.5, 61.9, 60.5, 60.9, 61.2, 63, 64.3, 64.5, 64.1, 64.5, 63.7, 65.6, 65.2, 63.9, 66.2, 69.3, 69.9, 73.2, 73.1, 72.9, 74.4, 75.1, 74, 74, 75.1, 79.5, 78, 78.3, 80.4, 79.8, 78, 77, 77.5, 78.6, 80.8, 82.4, 80.5, 80.2, 79.9, 76.9, 74.1, 72.5, 71.4, 70.9, 71, 72.8, 73.4, 72.8, 70.2, 68.4, 69.8, 70, 69.7, 70.3, 68, 67.4, 67.6, 67.4, 66.8, 66.4, 64.2, 64.3, 62.4, 61.9, 62.7, 62.6, 62.1, 61, 58.4, 57, 55.8, 55.4, 54.6, 52.6, 54.4, 54.6, 53.2, 53.2, 51.9, 52.6, 52.3, 52.8, 53.4, 53.6, 53.8, 54, 53.2, 52.6, 53.4, 53.8, 54.4, 53.8, 54.2, 55.1, 54.6, 55.4, 54.8, 56.5, 56.6, 55.4, 54.2, 54.7, 54.3, 53.5, 51.7, 52, 51, 50.5, 51.3, 52, 53.4, 54.9, 55.2, 56.3, 55.6, 55.9, 56.5, 55.5, 55.6, 56.3, 56, 56.7, 57.6, 58.7, 60.3, 61.8, 62.4, 64.3, 65, 66.7, 67.2, 66.3, 66.1, 65.6, 64.5, 65.2, 64.7, 65.4, 65.6, 65.4, 65.9, 67.1, 65.6, 66.3, 67.2, 67.4, 67.5, 68.4, 69.4, 68.8, 69.5, 69.4, 70.4, 69.4, 69.7, 71, 71.1, 72.9, 72.9, 73, 74.9, 77.5, 78.6, 78.1, 79.6, 80.8, 83.5, 86.2, 91.1, 95.3, 98.9, 105, 107.6, 110.4, 114.4, 120, 128, 132.1, 130.4, 130, 132.5, 130.1, 121.1, 112.8, 97.6, 89.5, 86, 86.4, 84.2, 84, 87.2, 93.3, 93.3, 90.7, 93.5, 93, 94.8, 98.8, 100.7, 101.5, 99, 96.3, 96.8, 96.3, 95.7, 100, 107.7, 114.1, 120.1, 124.1, 129.3, 133.7, 137.6, 134.3, 136.4, 135.2, 134.9, 133.2, 133, 130.4, 125.7, 126.1, 122.1, 122.4, 125.4, 125.8, 124.4, 119, 115.9, 122.1, 123.3, 125.2, 124, 123.6, 122.9, 123.4, 123.2, 122.9, 122.9, 122.1, 120.9, 117.9, 116.1, 116.4, 118.7, 118.7, 118.2, 116.2, 118.5, 122.1, 121.4, 121.3, 119.3, 116.4, 113, 109.4, 109.4, 108.2, 105.2, 100.7, 98.5, 95.6, 94.7, 95, 94.5, 93.8, 89.6, 89, 90.4, 87.7, 87.1, 84.9, 86, 87.4, 89.2, 90.6, 93.8, 93, 95.3, 96.1, 95.9, 95.8, 95.1, 97.7, 98.1, 96.2, 95.1, 97.4, 98, 100.2, 99.3, 99.9, 98.9, 98.9, 96.4, 96.7, 97.8, 99, 98.5, 98.6, 96.9, 95, 95.9, 94.2, 93.3, 92.2, 92.2, 93.2, 94, 93.1, 93.6, 94.2, 95.3, 95.1, 94, 93.3, 95.2, 98.6, 101, 102.5, 99.4, 95.1, 92.4, 91.1, 93.2
};
SingularSpectrumAnalyzer Ssa = new SingularSpectrumAnalyzer();
Ssa.SetAddSequences(Fpi);
Ssa.SetWindow(3);
Ssa.SetAlgoTopKDirect(1);
double[] trend;
double[] noise;
Ssa.AnalyzeSequence(out trend, out noise);
string FilePath = AppDomain.CurrentDomain.BaseDirectory
+ @"Result\" + DateTime.Now.ToString("yyyyMMdd-HHmm-ss") + ".csv";
FileInfo FI = new FileInfo(FilePath);
FI.Directory.Create(); // If the directory already exists, this method does nothing.
using (var file = new StreamWriter(FilePath, true))
{
file.WriteLine(string.Join(",", trend));
file.WriteLine(string.Join(",", noise));
}
}
public bool UseSingularSpectrumAnalyzer()
{
bool result = true;
try
{
foreach (KeyValuePair <string, List <double> > entry in Dal.dicListFpi)
{
// do something with entry.Value or entry.Key
SingularSpectrumAnalyzer SsaFpi = new SingularSpectrumAnalyzer();
SsaFpi.SetAddSequences(entry.Value.ToArray());
SsaFpi.SetWindow(3);
SsaFpi.SetAlgoTopKDirect(1);
SsaFpi.AnalyzeSequence(out double[] trendFpiArr, out double[] noiseFpiArr);
Dic_trendFpiArr.TryAdd(entry.Key, trendFpiArr);
Dic_noiseFpiArr.TryAdd(entry.Key, noiseFpiArr);
StoreArrayAsMetaCsv(Dal.dicListDate[entry.Key].ToArray(), trendFpiArr, "trendFpi_" + entry.Key.ToString());
//StoreArrayAsResultCsv(Dal.dicListDate[entry.Key].ToArray(), trendFpiArr, "Trend\\" + "trendFpi_" + entry.Key.ToString());
//StoreArrayAsResultCsv(Dal.dicListDate[entry.Key].ToArray(), noiseFpiArr, "Noise\\" + "noiseFpi_" + entry.Key.ToString());
}
Efa_Dic_StringList_DoubleArray_EuroStat Ea = new Efa_Dic_StringList_DoubleArray_EuroStat();
Ea.dicListDate = Dal.dicListDate;
Ea.FilePath = AppDomain.CurrentDomain.BaseDirectory
+ "Result\\Result_Summary\\" + "Result_Auto_Data_Trend" + ".xlsx";
Ea.SheetName = "Trend";
Ea.dicArrData = Dic_trendFpiArr;
Ea.CreateExcel();
Ea.FilePath = AppDomain.CurrentDomain.BaseDirectory
+ "Result\\Result_Summary\\" + "Result_Auto_Data_Noise" + ".xlsx";
Ea.SheetName = "Noise";
Ea.dicArrData = Dic_noiseFpiArr;
Ea.CreateExcel();
}
catch
{
result = false;
}
return(result);
}
public bool UseSingularSpectrumAnalyzer()
{
bool result = true;
try
{
foreach (KeyValuePair <string, List <double> > entry in Dic_TG_List)
{
// do something with entry.Value or entry.Key
SingularSpectrumAnalyzer SsaTemp = new SingularSpectrumAnalyzer();
SsaTemp.SetAddSequences(entry.Value.ToArray());
SsaTemp.SetWindow(3);
SsaTemp.SetAlgoTopKDirect(1);
SsaTemp.AnalyzeSequence(out double[] trendTempArr, out double[] noiseTempArr);
Dic_trendTempArr.TryAdd(entry.Key, trendTempArr);
Dic_noiseTempArr.TryAdd(entry.Key, noiseTempArr);
}
}
catch
{
result = false;
}
return(result);
}
public bool UseSingularSpectrumAnalyzer()
{
bool result = true;
try
{
SingularSpectrumAnalyzer SsaFpi = new SingularSpectrumAnalyzer();
SsaFpi.SetAddSequences(Dal.FpiList.ToArray());
SsaFpi.SetWindow(3);
SsaFpi.SetAlgoTopKDirect(1);
SsaFpi.AnalyzeSequence(out trendFpi, out noiseFpi);
StoreArrayAsMetaCsv(Dal.DateList.ToArray(), trendFpi, "trendFpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), trendFpi, "trendFpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), noiseFpi, "noiseFpi");
SingularSpectrumAnalyzer SsaMpi = new SingularSpectrumAnalyzer();
SsaMpi.SetAddSequences(Dal.MpiList.ToArray());
SsaMpi.SetWindow(3);
SsaMpi.SetAlgoTopKDirect(1);
SsaMpi.AnalyzeSequence(out trendMpi, out noiseMpi);
StoreArrayAsMetaCsv(Dal.DateList.ToArray(), trendMpi, "trendMpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), trendMpi, "trendMpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), noiseMpi, "noiseMpi");
SingularSpectrumAnalyzer SsaDpi = new SingularSpectrumAnalyzer();
SsaDpi.SetAddSequences(Dal.DpiList.ToArray());
SsaDpi.SetWindow(3);
SsaDpi.SetAlgoTopKDirect(1);
SsaDpi.AnalyzeSequence(out trendDpi, out noiseDpi);
StoreArrayAsMetaCsv(Dal.DateList.ToArray(), trendDpi, "trendDpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), trendDpi, "trendDpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), noiseDpi, "noiseDpi");
SingularSpectrumAnalyzer SsaCpi = new SingularSpectrumAnalyzer();
SsaCpi.SetAddSequences(Dal.CpiList.ToArray());
SsaCpi.SetWindow(3);
SsaCpi.SetAlgoTopKDirect(1);
SsaCpi.AnalyzeSequence(out trendCpi, out noiseCpi);
StoreArrayAsMetaCsv(Dal.DateList.ToArray(), trendCpi, "trendCpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), trendCpi, "trendCpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), noiseCpi, "noiseCpi");
SingularSpectrumAnalyzer SsaOpi = new SingularSpectrumAnalyzer();
SsaOpi.SetAddSequences(Dal.OpiList.ToArray());
SsaOpi.SetWindow(3);
SsaOpi.SetAlgoTopKDirect(1);
SsaOpi.AnalyzeSequence(out trendOpi, out noiseOpi);
StoreArrayAsMetaCsv(Dal.DateList.ToArray(), trendOpi, "trendOpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), trendOpi, "trendOpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), noiseOpi, "noiseOpi");
SingularSpectrumAnalyzer SsaSpi = new SingularSpectrumAnalyzer();
SsaSpi.SetAddSequences(Dal.SpiList.ToArray());
SsaSpi.SetWindow(3);
SsaSpi.SetAlgoTopKDirect(1);
SsaSpi.AnalyzeSequence(out trendSpi, out noiseSpi);
StoreArrayAsMetaCsv(Dal.DateList.ToArray(), trendSpi, "trendSpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), trendSpi, "trendSpi");
StoreArrayAsResultCsv(Dal.DateList.ToArray(), noiseSpi, "noiseSpi");
}
catch
{
result = false;
}
return(result);
}