rterm-package: Temperature-Energy Regression Models for Energy Use in...

In EcotopeResearch/rterm: Temperature-Energy Regression Models for Building Energy Use Data

Temperature-Energy Regression Models for Energy Use in Buildings

Description

This package contains functions to perform regressions of building energy use data on outdoor temperature and variables derived from outdoor temperature. This will eventually include a frequentist change-point model, a frequentist variable-base-degree-day model, and a Bayesian change-point model. All models apply to heating, cooling, or both.

This current, in-progress implementation contains the frequentist change point method. Other models will become available as development continues.

Details

Package:	rterm
Type:	Package
Version:	0.0.0.9000
Date:	2015-04-01
License:	GPL-2

Author(s)

Michael Logsdon

Maintainer: Michael Logsdon, [e-mail]

References

References to come later

See Also

cplm cplmx

Examples

# Architecture Office in Bremerton
data(rfm)
mod <- cplm(kwh ~ oat, data = rfm)
summary(mod)
plot(mod)


# Ecotope Office Energy Use
data(ecotope)
mod <- cplm(kwhd ~ oat, data = ecotope)
coef(mod)
plot(mod)
residsPlot(mod, "dateEnd") # Weather-adjusted time trend


# Ductless Heat Pump Study
data(dhp)
results <- cplmx(kwhd ~ avetemp, data = dhp,
                   id_vars = c("id", "post"))
summary(results)
plot(results, "heatingChangePoint")


# Metered Home w/ Baseboard Heat
data(baseboard)
mod <- cplm(Service ~ OAT, data = baseboard)
plot(mod) + 
  geom_point(data = baseboard, aes(OAT, Baseboard), col = "blue")

EcotopeResearch/rterm documentation built on Oct. 17, 2022, 4:02 p.m.