public void CreateEnergyUsage()
{
BinaryData binaryData = new BinaryData()
{
Value = "urn:sif:school:AcmeMiddleSchool1.CoyoteDistrict.Arizona"
};
UsageLocationInfo usageLocationInfo = new UsageLocationInfo()
{
SchoolId = binaryData
};
ReadingData readingData = new ReadingData()
{
EnergyUnits = "$Kilowatt-Hour"
};
ReadingDataList readingDataList = new ReadingDataList()
{
readingData
};
DataSource dataSource = new DataSource()
{
ReadingDataList = readingDataList
};
EnergyUsage energyUsage = new EnergyUsage()
{
UsageLocationInfo = usageLocationInfo, DataSource = dataSource
};
if (log.IsDebugEnabled)
{
log.Debug("EnergyUsage instance: " + energyUsage.ToXml());
}
Console.WriteLine("EnergyUsage instance: " + energyUsage.ToXml());
}
public PredictionResult Predict()
{
var _MLContext = new MLContext();
var PredictionResultList = new List <Predictions>();
var predictionFunction = _MLContext.Model.CreatePredictionEngine <EnergyUsage, EnergyUsagePrediction>(_trainedModel);
var results = new PredictionResult
{
Center = _center.CenterAbbr,
ModelUsed = _center.BestTrainer
};
foreach (var fc in _forecast.Periods)
{
var test = new EnergyUsage()
{
Center = _center.CenterAbbr,
DayOfWeek = (int)fc.startTime.DayOfWeek,
Hour = fc.startTime.Hour,
AvgTemp = fc.temperature,
kWH = 0
};
var prediction = predictionFunction.Predict(test);
var pr = new Predictions()
{
kWH_Usage = prediction.kWH,
Hour = test.Hour
};
results.Predictions.Add(pr);
}
return(results);
}
// GET: EnergyUsage
public ActionResult Index(string location, string type, string timePeriod)
{
EnergyUsage result = new EnergyUsage();
// gets individal energy usage in kwh and rounding it off to 2dp
ViewBag.sum = Math.Round(result.IndividualEnergyUsage(location, type, timePeriod), 2);
ViewBag.location = location;
return(View(result));
}
// GET: EnergyUsage
public ActionResult Index(string location, string type, string timePeriod)
{
_session = Session.getInstance;
if (_session != null)
{
EnergyUsage result = new EnergyUsage();
// gets individal energy usage in kwh and rounding it off to 2dp
ViewBag.sum = Math.Round(result.IndividualEnergyUsage(location, type, timePeriod), 2);
ViewBag.location = location;
return(View(result));
}
else
{
return(RedirectToAction("Index", "Home"));
}
}
// GET: EnergyUsage
public ActionResult Index(string location, string name, string timePeriod)
{
_session = Session.getInstance;
if (_session != null)
{
EnergyUsage result = new EnergyUsage(timePeriod);
if (location == null)
{
result.Location = result.Locations[0];
}
else
{
result.Location = location;
}
if (name == null)
{
result.Name = result.DevicesInLocation[0];
}
else
{
result.Name = name;
}
if (timePeriod == null)
{
result.TimePeriod = "daily";
}
else
{
result.TimePeriod = timePeriod;
}
return(View(result));
}
else
{
return(RedirectToAction("Index", "Home"));
}
}
public IEnumerable <EnergyUsage> GetTrainingData(Center center, string startDate, string endDate)
{
var a = DateTime.Parse(startDate);
var z = DateTime.Parse(endDate);
var tempData = (ctx.IconicsData.Where(x => x.CenterAbbr == center.CenterAbbr &&
x.TimeStamp >= a && x.TimeStamp <= z && x.Fulltag.Contains("Temperature_F")).ToList());
var energyData = (ctx.IconicsData.Where(x => x.CenterAbbr == center.CenterAbbr &&
x.TimeStamp >= a && x.TimeStamp <= z && x.Fulltag.Contains("Peak_DEM")).ToList());
var merged = (from temp in tempData
join energy in energyData
on temp.TimeStamp equals energy.TimeStamp
select new
{
Center = temp.CenterAbbr,
AvgTemp = temp.AvgValue,
kWH = energy.AvgValue,
Date = temp.TimeStamp,
}).ToList();
var usage = new List <EnergyUsage>();
foreach (var m in merged)
{
var e = new EnergyUsage()
{
Center = m.Center,
AvgTemp = Math.Round(m.AvgTemp, 6, MidpointRounding.ToEven),
kWH = float.Parse(Math.Round(m.kWH, 6, MidpointRounding.ToEven).ToString()),
DayOfWeek = (int)m.Date.DayOfWeek,
Hour = m.Date.Hour
};
usage.Add(e);
}
return(usage.AsEnumerable());
}
public Predictions PredictSingle()
{
var _MLContext = new MLContext();
var PredictionResultList = new List <Predictions>();
var predictionFunction = _MLContext.Model.CreatePredictionEngine <EnergyUsage, EnergyUsagePrediction>(_trainedModel);
var test = new EnergyUsage()
{
Center = _center.CenterAbbr,
DayOfWeek = (int)_testObj.DayOfWeek,
Hour = _testObj.Hour,
AvgTemp = _testObj.Temperature,
kWH = 0 // To
};
var prediction = predictionFunction.Predict(test);
var predictionResult = new Predictions()
{
kWH_Usage = prediction.kWH,
Hour = test.Hour
};
return(predictionResult);
}
private void FetchData()
{
_energyUsageByActivityType = _statisticsDataService.GetActualStatisticsByActivityTypeData().Result;
_energyUsageByCity = _statisticsDataService.GetActualStatisticsByCityData().Result;
_responseTime = DateTime.Now;
}
