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GitHub / DanielDavidFranco / probability_distribution_fitting_power_load_profile

It contains a python (jupyter) implementation solving the problem of fitting a dataset to the optimal probability distribution from a set of probability distributions. The dataset consists of power load profiles and is a small one and intended only for demostration purposes, it contains just a few load profile curves from residential users in Medellín, Colombia. At the end, several load profile curves based on the optimal distribution are generated and an average curve (the centroid) is found along with its load factor.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DanielDavidFranco%2Fprobability_distribution_fitting_power_load_profile

Stars: 2
Forks: 0
Open Issues: 0

License: cc0-1.0
Language: Jupyter Notebook
Repo Size: 472 KB
Dependencies: pending

Created: over 2 years ago
Updated: 2 months ago
Last pushed: over 2 years ago
Last synced: 2 months ago

Commit Stats

Commits: 3
Authors: 2
Mean commits per author: 1.5
Development Distribution Score: 0.333
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/DanielDavidFranco/probability_distribution_fitting_power_load_profile

Topics: data-science, dynamic-time-warping, energy, probability-distribution

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