Open Energy Efficiency Meter
Project description
EEmeter — open source implementations of standard methods for calculating metered energy savings.
The eemeter contains the reference implementation of the CalTRACK methods for computing metered energy usage differences at sites with building efficiency interventions or at control sites without known interventions.
Installation
EEmeter is a python package and can be installed with pip.
$ pip install eemeter
Features
Candidate model selection
Data sufficiency checking
Reference implementation of standard methods
CalTRACK Daily Method
CalTRACK Monthly Method
Flexible sources of temperature data. See EEweather.
Model serialization
First-class warnings reporting
Pandas dataframe support
Visualization tools
Command-line Usage
Once installed, eemeter can be run from the command-line. To see all available commands, run eemeter --help.
Use CalTRACK methods on sample data:
$ eemeter caltrack --sample=il-electricity-cdd-hdd-daily
Save output:
$ eemeter caltrack --sample=il-electricity-cdd-only-billing_monthly --output-file=/path/to/output.json
Load custom data (see eemeter.meter_data_from_csv and eemeter.temperature_data_from_csv for formatting):
$ eemeter caltrack --meter-file=/path/to/meter/data.csv --temperature-file=/path/to/temperature/data.csv
Do not fit CDD-based candidate models (intended for gas data):
$ eemeter caltrack --sample=il-gas-hdd-only-billing_bimonthly --no-fit-cdd
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for eemeter-2.1.3-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 748c8416e24c4387ec0c7addb35e49a657667b2fac3ac5db8254e4d5cbae1f46 |
|
MD5 | 702eee23054e610310e0957e04e1774c |
|
BLAKE2b-256 | 51c285bb78c148c892f2b5886e8ec5dc2dd253fe53a2cf19e33eb1a6d0287d8b |