https://github.com/astrochun/tep-usage-analysis

Analyze TEP usage
https://github.com/astrochun/tep-usage-analysis

data-science data-vizualization energy-consumption python3

Last synced: 25 days ago
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Analyze TEP usage

• Host: GitHub
• URL: https://github.com/astrochun/tep-usage-analysis
• Owner: astrochun
• License: mit
• Created: 2022-08-18T02:52:58.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-08-29T03:26:24.000Z (about 2 years ago)
• Last Synced: 2024-05-01T16:34:46.915Z (6 months ago)
• Topics: data-science, data-vizualization, energy-consumption, python3
• Language: Python
• Homepage:
• Size: 19.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# tep-usage-analysis

This Python command-line software estimates usage cost for different

[Tucson Electric Power (TEP)](https://tep.com) plans, including:

- [Basic](https://www.tep.com/basic/)

- [Time-of-use (TOU)](https://www.tep.com/time-of-use/)

- [Peak Demand](https://www.tep.com/peak-demand/)

This tool's primary intent is to be able to evaluate options and

determine if one plan is better for your pocket.

It does not account for taxes and surcharges. Rather it compares

the "Delivery" and "Power Supply" charges of using different plans, based on

actual past usage (kilo-watts-hour).

To install:

```bash

git clone https://github.com/astrochun/tep-usage-analysis

pip install -e .[dev]

```

As a TEP customer, you will need to login and download CSVs of your usage at:

https://account.tep.com/MyAccount/UsageDataDownload

For single billing cycle, you can run the analysis via:

```bash

tep_cost_estimate -i .csv

```

For multiple billing cycles (e.g. downloading 12 billing cycles), you can

provide the starting billing period in `billing_dates.txt` and execute as:

```bash

tep_cost_estimate -i .csv --date-file billing_dates.txt

```

As an example, [`billing_dates_example.txt`](billing_dates_example.txt)

is provided.