# pyaf/load\_forecasting

<https://repo.masters-masters.com/en/repos/pyaf/load_forecasting>

[Home](https://repo.masters-masters.com/en) › [pyaf](https://repo.masters-masters.com/en/owners/pyaf) › [load\_forecasting](https://repo.masters-masters.com/en/repos/pyaf/load_forecasting)

pyaf/load\_forecasting has 648 stars on GitHub. Its RepoMasters card: Alpha tier. Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

| Field | Value |
| --- | --- |
| Owner | [pyaf](https://repo.masters-masters.com/en/owners/pyaf) |
| Stars | 648 |
| Forks | 166 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | machine-learning, rnn, lstm, gru, arima, wma, ses, sma, electric-load-forecasting, time-series-forecasting |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [pyaf/load\_forecasting](https://github.com/pyaf/load_forecasting) |

## Repository

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

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.