/// <summary>
/// Aan de hand van de ingevulde kolommen van ImproveSmoothingFactor de prediction berekenen.
/// </summary>
/// <param name="data">Lijst van Maand waarbij de forecasting data wordt opgeslagen</param>
private void AddOptimizePrediction(Dictionary <int, Forecasting> data)
{
var preditionValue = new PredictionVariables();
var predictionCalc = new SmoothingFormulas();
var factorValues = new FactorsVariables();
factorValues.alpha = bestAlpha;
factorValues.delta = bestBeta;
factorValues.gamma = bestGamma;
foreach (var item in data)
{
int timeValue = item.Key;
if (timeValue == 36)
{
preditionValue.tLock = item.Key;
preditionValue.tTLock = item.Value.Trend;
preditionValue.lTLock = item.Value.Level;
}
else if (timeValue > 36)
{
preditionValue.t = timeValue;
preditionValue.sT = data[int.Parse(timeValue.ToString()) - 12].SeasonalAdjustment;
Console.WriteLine("Month: " + timeValue + ", " + "Predicted Demand Value: " + predictionCalc.Prediction(preditionValue, factorValues));
data[int.Parse(timeValue.ToString())].ActualDemand = predictionCalc.Prediction(preditionValue, factorValues);
}
}
}
public float Prediction(PredictionVariables predictionVariables, FactorsVariables factorsVariables)
{
//(lT - 1 + (t.current - t - 1) * Tt - 1) * S(vorige 12 maanden);
//---->($LevelsmoothingBekend + (PredictionT - $lastbekendeTijd) * $LastbekendeTrend) *-12Seasonal
float prediction = (predictionVariables.lTLock + (predictionVariables.t - predictionVariables.tLock) * predictionVariables.tTLock) * predictionVariables.sT;
return(prediction);
}
