Exemple #1
0
        private ForecastTerm CreateTerm(TextFile tf, int idx)
        {
            var s = tf[idx].Split(',')[1].Trim();


            ForecastTerm rval = null;

            if (s == "Antecedent Runoff")
            {
                rval = new AntecedentRunoffForecastTerm();
            }
            else if (s == "Precipitation")
            {
                rval = new PrecipitationForecastTerm();
            }
            else if (s == "Snow")
            {
                rval = new SnowForecastTerm();
            }
            else if (s == "Runoff")
            {
                rval = new RunoffForecastTerm();
            }
            else
            {
                throw new NotImplementedException();
            }


            rval.Number = Convert.ToInt32(tf[idx].Split(',')[0].Substring(1, 1));// X1, Y1, X2...
            return(rval);
        }
Exemple #2
0
        public DataTable ComputeHistoricalCoefficients(int year1, int year2)
        {
            DataTable tbl = new DataTable(Name);

            //Logger.EnableLogger();
            tbl.Columns.Add("Year");
            int previousTerm = -1;

            for (int i = 0; i < XTerms.Count; i++)
            {
                if (XTerms[i].Number != previousTerm) // grouped terms
                {
                    tbl.Columns.Add("X" + XTerms[i].Number, typeof(double));
                    previousTerm = XTerms[i].Number;
                }
            }
            tbl.Columns.Add("Y1");


            int month = ForecastTerm.GetMonthFromString(YTerm.MonthNames[YTerm.MonthNames.Count - 1]);
            int year  = 0;

            try
            {
                for (year = year1; year <= year2; year++)
                {
                    var row = tbl.NewRow();
                    row["Year"] = year;


                    DateTime t = new DateTime(year, month, 1);

                    previousTerm = -1;
                    double sum = 0;
                    for (int x = 0; x < XTerms.Count; x++)
                    {
                        var term = XTerms[x];

                        var d = term.Evaluate(t, true, 1.0);
                        if (previousTerm == term.Number)
                        {
                            sum += d;
                        }
                        else
                        {
                            sum = d;
                        }
                        row["X" + term.Number] = sum;
                        previousTerm           = term.Number;
                    }
                    row["Y1"] = YTerm.SeasonalRunoff(t); //.Evaluate(t,true,1.0);
                    tbl.Rows.Add(row);
                }

                //CsvFile.WriteToCSV(tbl, @"C:\temp\andcoeff.csv");
            }
            catch (Exception ex1)
            {
                throw new Exception("Issue on year " + year + " \n" + ex1.Message);
            }
            return(tbl);
        }