Degree Days

Degree Days.net

Weather Data for Energy Saving

.NET Client Library for Degree Days.net API

The .NET client library is stable, well tested, and well documented. It is the recommended way to access the API from C#, Visual Basic .NET, and other .NET languages.

The client library is in NuGet here, and you can find it in Visual Studio by searching for "DegreeDays" in the NuGet Package Manager.

MSDN-style documentation is at https://dotnet.degreedays.net/ and IntelliSense docs are bundled together with the NuGet package – you should get them automatically when you install via the NuGet Package Manager.

NuGet installation is the best option for most projects, but you can also download the client library directly: DegreeDaysApi.dll; and the XML docs for IntelliSense: DegreeDaysApi.xml.

The .NET client library is currently at version 1.4. For changes since earlier versions, please see the release history.

.NET quick-start guide

You'll need:

Here's a simple example showing how to fetch the latest 12 months of 65°F-base-temperature heating degree days for an automatically-selected weather station near US zip code 02633 (which is on Cape Cod so you can use the free test API account). The HDD figures are output to the command line:

// The free test account will work for locations on Cape Cod.  Swap in your own
// API access keys to fetch data for locations worldwide.
DegreeDaysApi api = new DegreeDaysApi(
    new AccountKey("test-test-test"),
    new SecurityKey("test-test-test-test-test-test-test-test-test-test-test-test-test"));

DatedDataSpec hddSpec = DataSpec.Dated(
    Calculation.HeatingDegreeDays(Temperature.Fahrenheit(65)),
    DatedBreakdown.Monthly(Period.LatestValues(12)));

// Tip: add more DataSpec items to fetch e.g. CDD or hourly temperatures in the
// same request. The API docs for GetLocationData have sample code showing how:
// https://dotnet.degreedays.net/M_DegreeDays_Api_Data_DataApi_GetLocationData#2

LocationDataRequest request = new LocationDataRequest(
    Location.PostalCode("02633", "US"),
    new DataSpecs(hddSpec));

LocationDataResponse response = api.DataApi.GetLocationData(request);

DatedDataSet hddData = response.DataSets.GetDated(hddSpec);

foreach (DatedDataValue v in hddData.Values) {
    Console.Out.WriteLine(v.FirstDay + ": " + v.Value);
}
' The free test account will work for locations on Cape Cod.  Swap in your own
' API access keys to fetch data for locations worldwide.
Dim api As New DegreeDaysApi(
    New AccountKey("test-test-test"),
    New SecurityKey("test-test-test-test-test-test-test-test-test-test-test-test-test"))

Dim hddSpec As DatedDataSpec = DataSpec.Dated(
    Calculation.HeatingDegreeDays(Temperature.Fahrenheit(65)),
    DatedBreakdown.Monthly(Period.LatestValues(12)))

' Tip: add more DataSpec items to fetch e.g. CDD or hourly temperatures in the
' same request. The API docs for GetLocationData have sample code showing how:
' https://dotnet.degreedays.net/M_DegreeDays_Api_Data_DataApi_GetLocationData#2

Dim request As New LocationDataRequest(
    Location.PostalCode("02633", "US"),
    New DataSpecs(hddSpec))

Dim response As LocationDataResponse = api.DataApi.GetLocationData(request)

Dim hddData As DatedDataSet = response.DataSets.GetDated(hddSpec)

For Each v As DatedDataValue In hddData.Values
    Console.Out.WriteLine(v.FirstDay.ToString() & ": " & v.Value)
Next

Bear in mind that this example is just a starting point...

The LocationDataRequest is highly configurable:

There are multiple ways to specify the various components of the LocationDataRequest:

// The Location can be a station ID, or a "geographic location" for which the
// API will select the best weather station to use automatically:
Location.StationId("KHYA");
Location.LongLat(new LongLat(-70.30563, 41.69547));
Location.PostalCode("02633", "US");

// Calculation:
Calculation.HeatingDegreeDays(Temperature.Fahrenheit(65));
Calculation.CoolingDegreeDays(Temperature.Celsius(21.5));

// A TimeSeriesCalculation is for time-series data like hourly temperature data:
TimeSeriesCalculation.HourlyTemperature(TemperatureUnit.Celsius);

// Period of coverage:
Period.LatestValues(12);
Period.DayRange(new DayRange(new Day(2024, 1, 1), new Day(2024, 12, 31)));
// By default you may get back less data than you requested if there aren't
// enough records to generate a full set for your specified location.  But you
// can specify a minimum if you would rather have a failure than too little
// data.  For example, if you want 60 values but will accept 36+:
Period.LatestValues(60).WithMinimumNumberOfValues(36);
// Or if you want 10 specific years, and would rather a failure than anything less:
Period.DayRange(new DayRange(new Day(2015, 1, 1), new Day(2024, 12, 31)))
    .WithMinimumDayRange(new DayRange(new Day(2015, 1, 1), new Day(2024, 12, 31)));

// DatedBreakdown (using a period like those specified above):
DatedBreakdown.Daily(period);
DatedBreakdown.Weekly(period, DayOfWeek.Monday); // specifying firstDayOfWeek
DatedBreakdown.Monthly(period);
DatedBreakdown.Monthly(period, new StartOfMonth(5));
DatedBreakdown.Yearly(period);
DatedBreakdown.Yearly(period, new StartOfYear(6, 22));
DatedBreakdown.Custom(DayRanges.Create(
    new DayRange(new Day(2024, 12, 15), new Day(2025, 1, 12)),
    new DayRange(new Day(2025, 1, 13), new Day(2025, 2, 17)),
    new DayRange(new Day(2025, 2, 24), new Day(2025, 3, 18))));
// All the DatedBreakdown types let you specify .withAllowPartialLatest(true)
// so you can fetch time-series data that includes the current day so far.  For
// example:
DatedBreakdown.Daily(period).WithAllowPartialLatest(true);

// AverageBreakdown has just one type at present, which specifies an average of
// the data for the full calendar years specified by the period:
AverageBreakdown.FullYears(period);

// A DataSpec is a specification for a set of data, made up of
// Calculation/Period/Breakdown objects like those specified above:
DataSpec.Dated(calculation, datedBreakdown); // for HDD or CDD
DataSpec.Average(calculation, averageBreakdown); // for average HDD or CDD
DataSpec.TimeSeries(timeSeriesCalculation, datedBreakdown); // for e.g. hourly temperature data

// Putting all this together, here are a few example DataSpec items:
DatedDataSpec hddSpec = DataSpec.Dated(
    Calculation.HeatingDegreeDays(Temperature.Fahrenheit(60)),
    DatedBreakdown.Monthly(Period.LatestValues(12)));
DatedDataSpec cddSpec = DataSpec.Dated(
    Calculation.CoolingDegreeDays(Temperature.Celsius(21)),
    DatedBreakdown.Daily(Period.DayRange(
        new DayRange(new Day(2024, 1, 1), new Day(2024, 12, 31)))));
AverageDataSpec averageHddSpec = DataSpec.Average(
    Calculation.HeatingDegreeDays(Temperature.Celsius(15.5)),
    AverageBreakdown.FullYears(Period.LatestValues(5)));
TimeSeriesDataSpec hourlyTemperaturesSpec = DataSpec.TimeSeries(
    TimeSeriesCalculation.HourlyTemperature(TemperatureUnit.Fahrenheit),
    DatedBreakdown.Daily(Period.LatestValues(30)));
TimeSeriesDataSpec hourlyTemperaturesIncludingTodaySpec = DataSpec.TimeSeries(
    TimeSeriesCalculation.HourlyTemperature(TemperatureUnit.Celsius),
    DatedBreakdown.Daily(Period.LatestValues(31)).WithAllowPartialLatest(true));

// DataSpec objects go into a DataSpecs object:
new DataSpecs(hddSpec); // HDD only (with only one base temperature and breakdown)
new DataSpecs(hddSpec, cddSpec); // HDD and CDD
new DataSpecs(hddSpec, cddSpec, hourlyTemperaturesSpec); // HDD, CDD, and hourly temperature data
new DataSpecs(listOfUpTo120DataSpecObjects); // e.g. HDD & CDD with a range of base temperatures or breakdowns
' The Location can be a station ID, or a "geographic location" for which the
' API will select the best weather station to use automatically:
Location.StationId("KHYA")
Location.LongLat(New LongLat(-70.30563, 41.69547))
Location.PostalCode("02633", "US")

' Calculation:
Calculation.HeatingDegreeDays(Temperature.Fahrenheit(65))
Calculation.CoolingDegreeDays(Temperature.Celsius(21.5))

' A TimeSeriesCalculation is for time-series data like hourly temperature data:
TimeSeriesCalculation.HourlyTemperature(TemperatureUnit.Celsius)

' Period of coverage:
Period.LatestValues(12)
Period.DayRange(New DayRange(New Day(2024, 1, 1), New Day(2024, 12, 31)))
' By default you may get back less data than you requested if there aren't
' enough records to generate a full set for your specified location.  But you
' can specify a minimum if you would rather have a failure than too little
' data.  For example, if you want 60 values but will accept 36+:
Period.LatestValues(60).WithMinimumNumberOfValues(36)
' Or if you want 10 specific years, and would rather a failure than anything less:
Period.DayRange(New DayRange(New Day(2015, 1, 1), New Day(2024, 12, 31))) _
    .WithMinimumDayRange(New DayRange(New Day(2015, 1, 1), New Day(2024, 12, 31)))

' DatedBreakdown (using a Period like those specified above):
DatedBreakdown.Daily(somePeriod)
DatedBreakdown.Weekly(somePeriod, DayOfWeek.Monday) ' specifying firstDayOfWeek
DatedBreakdown.Monthly(somePeriod)
DatedBreakdown.Monthly(somePeriod, New StartOfMonth(5))
DatedBreakdown.Yearly(somePeriod)
DatedBreakdown.Yearly(somePeriod, New StartOfYear(6, 22))
DatedBreakdown.Custom(DayRanges.Create(
    New DayRange(New Day(2024, 12, 15), New Day(2025, 1, 12)),
    New DayRange(New Day(2025, 1, 13), New Day(2025, 2, 17)),
    New DayRange(New Day(2025, 2, 24), New Day(2025, 3, 18))))
' All the DatedBreakdown types let you specify .WithAllowPartialLatest(True)
' so you can fetch time-series data that includes the current day so far.  For
' example:
DatedBreakdown.Daily(somePeriod).WithAllowPartialLatest(True)

' AverageBreakdown has just one type at present, which specifies an average of
' the data for the full calendar years specified by the period:
AverageBreakdown.FullYears(somePeriod)

' A DataSpec is a specification for a set of data, made up of
' Calculation/Period/Breakdown objects like those specified above:
DataSpec.Dated(someCalculation, someDatedBreakdown) ' for HDD or CDD
DataSpec.Average(someCalculation, someAverageBreakdown) ' for average HDD or CDD
DataSpec.TimeSeries(someTimeSeriesCalculation, someDatedBreakdown) ' for e.g. hourly temperature data

' Putting all this together, here are a few example DataSpec items:
Dim hddSpec As DatedDataSpec = DataSpec.Dated(
    Calculation.HeatingDegreeDays(Temperature.Fahrenheit(60)),
    DatedBreakdown.Monthly(Period.LatestValues(12)))
Dim cddSpec As DatedDataSpec = DataSpec.Dated(
    Calculation.CoolingDegreeDays(Temperature.Celsius(21)),
    DatedBreakdown.Daily(Period.DayRange(
        New DayRange(New Day(2024, 1, 1), New Day(2024, 12, 31)))))
Dim averageHddSpec As AverageDataSpec = DataSpec.Average(
    Calculation.HeatingDegreeDays(Temperature.Celsius(15.5)),
    AverageBreakdown.FullYears(Period.LatestValues(5)))
Dim hourlyTemperaturesSpec As TimeSeriesDataSpec = DataSpec.TimeSeries(
    TimeSeriesCalculation.HourlyTemperature(TemperatureUnit.Fahrenheit),
    DatedBreakdown.Daily(Period.LatestValues(30)))
Dim hourlyTemperaturesIncludingTodaySpec As TimeSeriesDataSpec = DataSpec.TimeSeries(
    TimeSeriesCalculation.HourlyTemperature(TemperatureUnit.Celsius),
    DatedBreakdown.Daily(Period.LatestValues(31)).WithAllowPartialLatest(True))

' DataSpec objects go into a DataSpecs object:
Dim ds As DataSpecs
ds = New DataSpecs(hddSpec) ' HDD only (with only one base temperature and breakdown)
ds = New DataSpecs(hddSpec, cddSpec) ' HDD and CDD
ds = New DataSpecs(hddSpec, cddSpec, hourlyTemperaturesSpec) ' HDD, CDD, and hourly temperature data
ds = New DataSpecs(listOfUpTo120DataSpecObjects) ' e.g. HDD & CDD with a range of base temperatures or breakdowns

Note above how you can specify multiple sets of data (e.g. HDD, CDD, hourly temperature data) to be fetched in a single request. This is faster and uses fewer request units than making multiple requests for the same location. The second code sample in the docs for GetLocationData shows how.

The LocationDataResponse contains more than just data:

It also contains information about the weather station(s) used to generate the returned data. For example, if you request data for a geographic location initially, you might want to use the station ID to fetch updates later:

Console.Out.WriteLine(response.StationId);
Console.Out.WriteLine(response.StationId)

LocationInfoRequest and two-stage data fetching:

Except in name, LocationInfoRequest looks exactly the same as LocationDataRequest. Using it is almost identical too:

// Assuming location, dataSpecs, and api are already defined (see examples above)
LocationInfoResponse locationInfoResponse = 
    api.DataApi.GetLocationInfo(new LocationInfoRequest(location, dataSpecs))
Console.Out.WriteLine(locationInfoResponse.StationId)
' Assuming yourLocation, yourDataSpecs, and api are already defined (see examples above)
Dim response As LocationInfoResponse = api.DataApi.GetLocationInfo(
    New LocationInfoRequest(yourLocation, yourDataSpecs))
Console.Out.WriteLine(response.StationId)

Request Units

Each API request you make uses request units that count against your hourly rate limit. A big LocationDataRequest can use a lot of request units, but a LocationInfoRequest will only ever use one. See the sign-up page for more on request units and rate limits.

But LocationInfoResponse does not contain any data (it has no DataSets property)... It's typically used for two-stage data fetching, which can be useful if you are dealing with geographic locations (postal/zip codes, or longitude/latitude positions), but storing data by station ID (returned in every successful response). For this use-case, two-stage data fetching can help you save request units (see right) and improve the efficiency of your system by avoiding re-fetching data that you already have stored.

When you want to add a new location into your system (e.g. if a new user signs up with a new address), you can do the following:

If none of your geographic locations share a weather station, two-stage data fetching will use exactly the same number of request units as simply fetching data for each geographic location. But two-stage data fetching will improve efficiency and save request units if/when you have enough geographic locations in your system that some of them end up sharing weather stations. If that is the case, two-stage data fetching can really help your system to scale well as more and more geographic locations are added in.

There's also RegressionRequest for advanced regression functionality:

With RegressionRequest you can send energy data to the API so it can test thousands of regressions and find the HDD and/or CDD base temperatures that give the best statistical fit. We cover this fully in our docs on the API's regression functionality.

Error handling

Error handling would be important for production code:

Local input validation

The .NET client library tries its best to fail fast on invalid input. We'd rather give you an exception immediately than use up your rate limit with invalid API requests that are destined to fail.

This is mainly relevant if you are dealing with user input, particularly for:

All the methods/constructors listed above will throw a FormatException (or subclass) if they are passed an ID, code, or key that is clearly invalid. If you are dealing with user input, you might want to catch those exceptions explicitly as a means of validation.

Failures in remote calls (DegreeDaysApiException)

All the exceptions that can arise from a remote call to the API servers extend from DegreeDaysApiException.

The methods that make a remote call to the API servers are accessible through DegreeDaysApi. At present the only such methods are DataApi.GetLocationData(LocationDataRequest), DataApi.GetLocationInfo(LocationInfoRequest), and RegressionApi.RunRegressions(RegressionRequest). For example:

DegreeDaysApi api = new DegreeDaysApi(
    new AccountKey(yourStringAccountKey),
    new SecurityKey(yourStringSecurityKey));
LocationDataResponse response = 
    api.DataApi.GetLocationData(yourLocationDataRequest);
Dim api As New DegreeDaysApi(
    New AccountKey(yourStringAccountKey),
    New SecurityKey(yourStringSecurityKey))
Dim response As LocationDataResponse = 
    api.DataApi.GetLocationData(yourLocationDataRequest)

getLocationData, getLocationInfo, and runRegressions can throw a range of subclasses of DegreeDaysApiException:

There is also SourceDataException (another subclass of DegreeDaysApiException), which can be thrown by the GetXXX methods on the DataSets objects that come back in response to requests for data. For example:

try {
    DatedDataSet hddSet = response.DataSets.GetDated(hddSpec);
} catch (SourceDataException e) {
    // hddSpec couldn't be fulfilled as there wasn't enough good temperature
    // data to calculate degree days covering the specified period.
}
Try
    Dim hddSet As DatedDataSet = response.DataSets.GetDated(hddSpec)
Catch e As SourceDataException
    ' hddSpec couldn't be fulfilled as there wasn't enough good temperature
    ' data to calculate degree days covering the specified period.
End Try

Which, if any, of these exceptions you'll want to handle explicitly will depend on the nature of your application:

Getting less data than you requested

This isn't an error as such, but it's important to realize that, in certain circumstances, the API can return less data than you requested. For example, you might request 10 years of data for a certain weather station, but get only 5 years back if that's all the usable temperature data that the weather station has. Or you might request data up to and including yesterday, but get only data to the day before yesterday. (Note that you should never be able to get the data for yesterday until that day has finished in the location's local time zone, and it's best not to expect it until at least a couple of hours after that. More on update schedules here.)

There are clear rules about how and when the API can deliver less data than requested, and you can control this behaviour as well. See the documentation for DataApi.GetLocationData(LocationDataRequest) to find out more.

But otherwise there should be no surprises...

We've built the API and the .NET client library for robustness and predictability:

Further reading

It is worth reading the higher-level integration guide for tips on the various approaches to integrating with the API. We have helped a lot of businesses integrate their software with our API so we are very familiar with the patterns that work well for common use cases.

There are separate docs covering the API's regression functionality.

The detailed .NET API docs explain every class, method, and property in the Python client library, along with detailed notes about the different request options, the types of response data, and the exceptions. It's the place to go for lower-level details on using the API from .NET.

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