# ki-ljl/LSTM-MultiStep-Forecasting

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

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

ki-ljl/LSTM-MultiStep-Forecasting has 104 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of Electric Load Forecasting Based on LSTM…

| Field | Value |
| --- | --- |
| Owner | [ki-ljl](https://repo.masters-masters.com/en/owners/ki-ljl) |
| Stars | 104 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | lstm, multistep, time-series |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ki-ljl/LSTM-MultiStep-Forecasting](https://github.com/ki-ljl/LSTM-MultiStep-Forecasting) |

## Repository

Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling forecasting, multi-model-single-step forecasting, multi-model-scrolling forecasting, and seq2seq forecasting.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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