Package net.degreedays.api.regression

For using the API to run regressions against your energy-usage data.

See: Description

Class Summary

Class	Description
BaseloadRegressionComponent	Contains details of the baseload component (non-weather-dependent energy usage) in a regression.
DegreeDaysRegressionComponent	Contains details of a heating or cooling component in a regression, with the base temperature and degree days used, as well as the usual coefficient and stats.
ExtraPredictorSpec	Defines an extra predictor in terms of its PredictorType and ExpectedCorrelation, to help the API test and rank regressions that include data for that extra predictor.
ExtraRegressionComponent	Contains details of an extra-predictor component in a regression.
InputData	Defines the energy data (and any extra-predictor data) that the API should run regressions against.
InputPeriod	Defines a dated period with its energy usage and any extra-predictor figures.
Regression	Contains details of a regression model that the API calculated using the InputData you provided and, typically, HDD and/or CDD as well.
RegressionApi	Provides easy, type-safe access to the API's regression-related operations.
RegressionComponent	Contains details of a regression component e.g. the baseload (b*days) or the heating (h*HDD) component in a regression like E = b*days + h*HDD
RegressionRequest	Defines a request for the API to test regressions against the specified energy data (InputData) using degree days from the specified Location.
RegressionResponse	Contains a selection of the regressions that the API tested against your RegressionRequest, with the Regression that gave the best statistical fit listed first.
RegressionSpec	Defines a specification of a regression in terms of its HDD and/or CDD base temperature(s) and any extra predictors to be included.
RegressionTestPlan	Defines how the API should test regressions against the InputData you provide it.

Enum Summary

Enum	Description
DayNormalization	Defines the day normalization used in the regression process – an important consideration when periods of energy usage cover different lengths of time.
ExpectedCorrelation	Defines how an extra predictor's figures are expected to correlate with energy usage (whether larger predictor numbers lead to larger or smaller energy usage).
PredictorType	Defines an extra predictor's figures as being cumulative (increasing with time and naturally larger over longer periods) or average (normalized such that the length of the period has no effect).
RegressionTag	An enum of tags that the API adds to Regression objects to indicate why it included them in a RegressionResponse.

Package net.degreedays.api.regression Description

For using the API to run regressions against your energy-usage data.

If you are new to this package, we suggest you start by looking at RegressionApi.

Since:

1.4