# ki-ljl/LSTM-Load-Forecasting

<https://repo.masters-masters.com/en/repos/ki-ljl/LSTM-Load-Forecasting>

[Home](https://repo.masters-masters.com/en) › [ki-ljl](https://repo.masters-masters.com/en/owners/ki-ljl) › [LSTM-Load-Forecasting](https://repo.masters-masters.com/en/repos/ki-ljl/LSTM-Load-Forecasting)

ki-ljl/LSTM-Load-Forecasting has 284 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of Electric Load Forecasting Based on LSTM(BiLSTM)…

| Field | Value |
| --- | --- |
| Owner | [ki-ljl](https://repo.masters-masters.com/en/owners/ki-ljl) |
| Stars | 284 |
| Forks | 50 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | lstm, load, pytorch |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [ki-ljl/LSTM-Load-Forecasting](https://github.com/ki-ljl/LSTM-Load-Forecasting) |

## Repository

Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.

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

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