static public void applySecMethod(Model model, ExcelFile excelFile, string methodChoice)
{
switch (methodChoice)
{
case "--GRAS":
GRAS methodGRAS = new GRAS(1f, model, excelFile);
methodGRAS.apply();
break;
case "--SPT":
SPT methodSPT = new SPT(model, excelFile);
methodSPT.apply();
break;
case "--LPT":
LPT methodLPT = new LPT(model, excelFile);
methodLPT.apply();
break;
case "--EDD":
EDD methodEDD = new EDD(model, excelFile);
methodEDD.apply();
break;
case "--CR":
CR methodCR = new CR(model, excelFile);
methodCR.apply();
break;
case "--SES":
SES methodSES = new SES(model, excelFile);
methodSES.apply();
break;
case "--SLACK":
SES methodSLACK = new SES(model, excelFile);
methodSLACK.apply();
break;
case "A":
MyConsole.displayError("Aborting operation...\n");
break;
default:
{
MyConsole.displayError("Input invalid, applying GRAS anyway... \n");
GRAS methodDefault = new GRAS(1f, model, excelFile);
methodDefault.apply();
}
break;
}
}
private void Form1_Load_1(object sender, EventArgs e)
{
//Read SwordsDemand.csv containing 36 rows
List <double> dataSet = Parser.Parse("SwordsDemand.csv", ',');
SES ses = new SES(dataSet);
DES des = new DES(dataSet);
TES tes = new TES(dataSet);
for (var i = 0; i < dataSet.Count; i++)
{
chart1.Series["Data"].Points.AddXY(i + 1, dataSet[i]);
}
List <double> dataSetSES = ses.CalculateSmoothing(12);
for (var i = 0; i < dataSetSES.Count; i++)
{
chart1.Series["SES"].Points.AddXY(i + 1, dataSetSES[i]);
}
List <double> dataSetDES = des.CalculateSmoothing(12);
for (var i = 0; i < dataSetDES.Count; i++)
{
chart1.Series["DES"].Points.AddXY(i + 2, dataSetDES[i]);
}
List <double> dataSetTES = tes.CalculateSmoothing(12);
for (var i = 0; i < dataSetTES.Count; i++)
{
chart1.Series["TES"].Points.AddXY(i + 1, dataSetTES[i]);
}
Tuple <double, double> valuesSES = ses.GetBestValues();
Tuple <double, double, double> valuesDES = des.GetBestValues();
Tuple <double, double, double, double> valuesTES = tes.GetBestValues();
textBox1.AppendText("Best Alpha for SES: " + valuesSES.Item1 + Environment.NewLine);
textBox1.AppendText("Best Error for SES: " + valuesSES.Item2 + Environment.NewLine + Environment.NewLine);
textBox1.AppendText("Best Alpha for DES: " + valuesDES.Item1 + Environment.NewLine);
textBox1.AppendText("Best Beta for DES: " + valuesDES.Item2 + Environment.NewLine);
textBox1.AppendText("Best Error for DES: " + valuesDES.Item3 + Environment.NewLine + Environment.NewLine);
textBox1.AppendText("Best Alpha for TES: " + valuesTES.Item1 + Environment.NewLine);
textBox1.AppendText("Best Beta for TES: " + valuesTES.Item2 + Environment.NewLine);
textBox1.AppendText("Best Gamma for TES: " + valuesTES.Item3 + Environment.NewLine);
textBox1.AppendText("Best Error for TES: " + valuesTES.Item4 + Environment.NewLine);
}
private static void Main(string[] args)
{
var data = File
.ReadAllLines(@"SwordForecasting.csv")
.Skip(1)
.Select(x => x.Split(','))
.ToDictionary(y => double.Parse(y[0]), y => double.Parse(y[1]));
var points = data.Values.ToArray();
var bestDES = DES.FindBestAlphaBeta(points, 0.1);
var forecastDES = DES.ForeCast(points, 37, 48, bestDES.Item1, bestDES.Item2);
var besSES = SES.FindBestAlpha(points, 0.01);
var forecastSES = SES.ForeCast(points, besSES, 37, 48);
string original = "[";
foreach (var num in points)
{
original += num + ",";
}
original += "]";
string desforecastDES = "[";
foreach (var num in forecastDES)
{
desforecastDES += num + ",";
}
desforecastDES += "]";
string desforecastSES = "[";
foreach (var num in forecastSES)
{
desforecastSES += num + ",";
}
desforecastSES += "]";
var list = "[" + original + "," + desforecastDES + "," + desforecastSES + "]";
// var i = 0;
// // foreach (var point in smoothedPoints)
// // {
// // Console.WriteLine(i + ": " + point);
// // i++;
// // }
var socket = new Client_Socket();
socket.Publish(list);
}
private void PredictionVisualization_Load(object sender, EventArgs e)
{
var dt = dataset.getData();
SES ses = new SES(dt);
DES des = new DES(dt);
TES tes = new TES(dt);
// var sesSmoothing = ses.SmoothingCalculation(12);
var sesSmoothing2 = ses.SmoothingCalculation2(12, 0.73, dt, 12);
var desSmoothing2 = des.SmoothingCalculation2(12, 0.659100046560163, 0.0531171804609812, dt, 12, 155, 0.8369);
//actual data
ApplyActualDataToChart(chart1, dt, "Data");
ApplySESDataToChart(chart1, sesSmoothing2, "SES");
ApplyDESDataToChart(chart1, desSmoothing2, "DES");
//ApplyDataToChart(chart1, tes, "TES");
// ses data to gridview
for (int i = 0; i < sesSmoothing2.Count; i++)
{
DataGridViewRow row = (DataGridViewRow)dataGridView1.Rows[0].Clone();
row.Cells[0].Value = i + 1; //row number
row.Cells[1].Value = sesSmoothing2[i].Item1;
row.Cells[2].Value = sesSmoothing2[i].Item2;
row.Cells[3].Value = sesSmoothing2[i].Item3;
row.Cells[4].Value = sesSmoothing2[i].Item4;
row.Cells[5].Value = sesSmoothing2[i].Item5;
dataGridView1.Rows.Add(row);
}
// des data to gridview
for (int i = 0; i < desSmoothing2.Count; i++)
{
DataGridViewRow row = (DataGridViewRow)dataGridView2.Rows[0].Clone();
row.Cells[0].Value = i + 1;//row number
row.Cells[1].Value = desSmoothing2[i].Item1;
row.Cells[2].Value = desSmoothing2[i].Item2;
row.Cells[3].Value = desSmoothing2[i].Item3;
row.Cells[4].Value = desSmoothing2[i].Item4;
row.Cells[5].Value = desSmoothing2[i].Item5;
row.Cells[6].Value = desSmoothing2[i].Item6;
dataGridView2.Rows.Add(row);
}
}
private void Form1_Load(object sender, EventArgs e)
{
//Read SwordsDemand.csv containing 36 rows
var data = Parser.Parse("SwordsDemand.csv", ',');
var ses = new SES(data, 12);
var des = new DES(data, 12);
AddToChart(data, "Data");
AddToChart(ses.Calculate(), "SES");
AddToChart(des.Calculate(), "DES");
var bestSES = ses.GetBestValues();
var bestDES = des.GetBestValues();
// Write the best values in the textbox
textBox1.AppendText("Forecasting Assignment" + Environment.NewLine + Environment.NewLine);
textBox1.AppendText("Best Alpha for SES: " + bestSES.Item1 + Environment.NewLine);
textBox1.AppendText("Best Error for SES: " + bestSES.Item2 + Environment.NewLine + Environment.NewLine);
textBox1.AppendText("Best Alpha for SES: " + bestDES.Item1 + Environment.NewLine);
textBox1.AppendText("Best Beta for SES: " + bestDES.Item2 + Environment.NewLine);
textBox1.AppendText("Best Error for SES: " + bestDES.Item3 + Environment.NewLine);
}
