DataPoint _pair(VariablePricesAndRenewable amberVars, Forecast dp)
{
var t = amberVars.period;
var ds = dp.Hourly.Data.OrderByDescending(_ => _.DateTime).FirstOrDefault(_ => _.DateTime.ToLocalTime() <= t.AddMinutes(30));
//if (ds == null)
//{
// ds = dp.Hourly.Data.OrderByDescending(_ => _.DateTime).First();
//}
return(ds);
}
EnergyFuture _getEnergyFuture(VariablePricesAndRenewable amberVars, DataPoint dp, DateTime sunrise, DateTime sunset, bool isForecast, List <DateDouble> history)
{
var obj = new EnergyFuture()
{
AmberSource = amberVars.periodType,
AmberPrices = amberVars,
Cloudiness = dp?.CloudCover ?? 1,
Temperature = dp?.Temperature ?? 0,
DarkSkyDataPoint = dp,
PrecipIntensity = dp?.PrecipIntensity ?? 0,
PrecipProbability = dp?.PrecipProbability ?? 0,
Period = amberVars.period,
PriceIn = amberVars.InPrice,
PriceInNormalised = amberVars.InPriceNormal,
PriceOut = amberVars.OutPrice,
PriceOutNormalised = amberVars.OutPriceNormal,
IsForecast = isForecast,
};
var historyRange = history.Where(e => e.Interval.Hour == amberVars.period.ToUniversalTime().Hour&& e.Interval.Minute == amberVars.period.ToUniversalTime().Minute).Where(e => e.Value < 10).Select(e => e.Value).ToList();
var aggregate = historyRange.Count > 0 ? historyRange.Average() : 0;
//Debug.WriteLine(aggregate);
obj.SolarHistory = aggregate;
var solarNormalised = _normalise(aggregate, 0, 3);
obj.Value = _normalise(solarNormalised - obj.Cloudiness - obj.PriceInNormalised, 0, 3);
obj.SolarValue = solarNormalised - (obj.Cloudiness / 4);
if (obj.SolarValue < 0)
{
obj.SolarValue = 0;
}
obj.GridValue = (1 - obj.PriceInNormalised);
obj.UsageSuggestion = obj.GridValue + obj.SolarValue;
obj.CostSuggestion = 2 - obj.UsageSuggestion;
return(obj);
}
public double _outPrice(AmberData data, VariablePricesAndRenewable variables)
{
var price = (data.data.staticPrices.B1.totalfixedKWHPrice + data.data.staticPrices.B1.lossFactor * variables.wholesaleKWHPrice) / 1.1;
return(price);
}
