pyaf / load_forecasting

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

Date Created 2018-01-19 (7 years ago)

Commits 71 (last one 3 months ago)

Stargazers 520 (3 this week)

Watchers 12 (0 this week)

Forks 161

License mit

Ranking

RepositoryStats indexes 617,578 repositories, of these pyaf/load_forecasting is ranked #90,829 (85th percentile) for total stargazers, and #180,286 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,955/18,408.

pyaf/load_forecasting is also tagged with popular topics, for these it's ranked: machine-learning (#2,020/8268), time-series-forecasting (#28/109)

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

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updated: 2025-02-20 @ 12:20pm, id: 118086285 / R_kgDOBwnajQ