Add Clustering Method to PriceTaker

[MarcusHolly]

Summary/Motivation:

Adds a literature-based method to the pricetaker model for determining the optimal number of clusters that a dataset should be broken into

Changes proposed in this PR:

• Adds the clustering method
• Updates tests
• Addresses some of Adam's miscellaneous feedback in Price taker model for DISPATCHES, Rehashed #1358

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[codecov-commenter]

Codecov Report

Attention: Patch coverage is 6.55738% with 57 lines in your changes missing coverage. Please review.

Project coverage is 76.79%. Comparing base (6291747) to head (96bc017).
Report is 1 commits behind head on main.

Files with missing lines	Patch %	Lines
...aes/apps/grid_integration/pricetaker/clustering.py	3.50%	55 Missing ⚠️
...s/grid_integration/pricetaker/price_taker_model.py	0.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1579      +/-   ##
==========================================
- Coverage   76.86%   76.79%   -0.07%     
==========================================
  Files         394      394              
  Lines       63246    63294      +48     
  Branches    10360    10369       +9     
==========================================
- Hits        48611    48609       -2     
- Misses      12187    12238      +51     
+ Partials     2448     2447       -1     

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[radhakrishnatg]

I have a few changes. Please see my comments below.

[radhakrishnatg]

The lmp_data.csv file is not available in the specified path. Please include the test file in the pricetaker/tests folder. Also, please ensure that the file contains only one price signal that is needed for the test.

[radhakrishnatg]

Please update the argument names in test_price_taker_model.py, unit_commitment.py and test_unit_commitment.py files.

[radhakrishnatg]

For now, please retain annualization_factor as the argument name. I do not think this value always indicates capital_recovery_factor, so we need to come up with a better name for this argument.

[radhakrishnatg]

Instead of warning, raise an error: Optimal number of clusters cannot be determined with the elbow method for this dataset. Try silhouette method instead.