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nmecr

Builds upon the energy efficiency community's past efforts to model complex and nuanced building energy use profiles.
https://github.com/kw-labs/nmecr

Last synced: about 11 hours ago
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An implementation of peer-reviewed energy data analysis algorithms for site-specific M&V

README

        

# nmecr

## Overview

nmecr is a Measurement & Verification (M&V) practitioner's toolbox that builds upon the energy efficiency community's past efforts to model complex and nuanced building energy use profiles. While intended for use in the commercial and institutional sectors, its functions can be extended to model the energy use profile of industrial systems.

There are 11 energy modeling algorithms available in nmecr:

1. For use with hourly, daily, and monthly time interval data:
- Simple Linear Regression with Outside Air Temperature
- Three Parameter Linear Model (Cooling/Heating)
- Four Parameter Linear Model
- Five Parameter Linear Model
- Mean Model

2. For use with hourly and daily time interval data:
- Time-of-Week Model
- Temperature & Time-of-Week Model

3. For use with monthly and daily time interval data only:
- Heating Degree Day Model
- Cooling Degree Day Model
- Heating & Cooling Degree Day Model

Please refer to the [project site](https://kw-labs.github.io/nmecr/) for more information on the available models.

## Installation

You can download nmecr from GitHub.

``` r
install.packages("devtools")
devtools::install_github("kW-Labs/nmecr", upgrade = "never")
```
Please make sure R is updated on your system. Check [here](https://www.r-project.org/) for the latest release.

## Getting help

If you have a question or encounter a bug, please file a minimal reproducible example on [github](https://github.com/kW-Labs/nmecr/issues).


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Avg Commits per committer in past year: 15.667
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Name Email Commits
MeeraSharma m****4@g****m 374
k-wolfe99 1****9 25
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Dexter Luu d****u@k****m 21
Maggie Jacoby m****y@k****m 18
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kodanshaivya s****n@k****m 3
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Last synced: 1 day ago

Total issues: 17
Total pull requests: 29
Average time to close issues: 3 months
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Average comments per issue: 2.59
Average comments per pull request: 0.21
Merged pull request: 18
Bot issues: 0
Bot pull requests: 0

Past year issues: 6
Past year pull requests: 7
Past year average time to close issues: 3 days
Past year average time to close pull requests: 14 minutes
Past year issue authors: 5
Past year pull request authors: 2
Past year average comments per issue: 3.5
Past year average comments per pull request: 0.0
Past year merged pull request: 6
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/kw-labs/nmecr

Top Issue Authors

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Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • assertive * imports
  • dplyr * imports
  • lubridate * imports
  • magrittr * imports
  • methods * imports
  • purrr * imports
  • segmented * imports
  • stats * imports
  • timetk * imports
  • xts * imports
  • zoo * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests

Score: 5.455321115357702