model_with_HDD_CDD: Heating/Cooling Degree Days algorithms using outside air...

In kW-Labs/nmecr: An implementation of peer-reviewed energy data analysis algorithms for site-specific M&V

Heating/Cooling Degree Days algorithms using outside air temperature.

Description

This function builds an energy use model using one of three algorithms: HDD-CDD Multivariate Regression (HDD-CDD), HDD Regression (HDD), CDD Regression (CDD).#'

Usage

model_with_HDD_CDD(
  training_data = NULL,
  model_input_options = NULL,
  HDD_balancepoint = NULL,
  CDD_balancepoint = NULL
)

Arguments

training_data	Training dataframe and operating mode dataframe. Output from create_dataframe
model_input_options	List with model inputs specified using assign_model_inputs
HDD_balancepoint	Heating specific balancepoint
CDD_balancepoint	Cooling specific balancepoint

Value

a list with the following components:

model

an lm object

training_data

training dataframe along with the model_fit values

model_input_options

model_input_options from the input along with additional model specifications.

kW-Labs/nmecr documentation built on May 6, 2024, 9:28 p.m.