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 3 days ago)

Stargazers 505 (3 this week)

Watchers 13 (0 this week)

Forks 159

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these pyaf/load_forecasting is ranked #90,328 (85th percentile) for total stargazers, and #165,621 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,912/17,098.

pyaf/load_forecasting is also tagged with popular topics, for these it's ranked: machine-learning (#2,012/7926)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

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

Opengraph Image

updated: 2024-11-21 @ 11:13am, id: 118086285 / R_kgDOBwnajQ