pyaf / load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

Date Created 2018-01-19 (6 years ago)

Commits 71 (last one about a month ago)

Stargazers 512 (0 this week)

Watchers 13 (0 this week)

Forks 159

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these pyaf/load_forecasting is ranked #90,028 (85th percentile) for total stargazers, and #166,788 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,916/17,543.

pyaf/load_forecasting is also tagged with popular topics, for these it's ranked: machine-learning (#2,015/8063), time-series-forecasting (#29/101)

Other Information

pyaf/load_forecasting has 12 open pull requests on Github, 24 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 2 closed issues.

All Topics

gru rnn ses sma wma lstm arima machine-learning time-series-forecasting electric-load-forecasting

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Recent Commit History

1 commits on the default branch (master) since jan '22

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The primary language is Jupyter Notebook but there's also others...

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updated: 2024-12-19 @ 06:31pm, id: 118086285 / R_kgDOBwnajQ