# yuekong2010/load-forecasting-algorithms

<https://repo.masters-masters.com/en/repos/yuekong2010/load-forecasting-algorithms>

[Home](https://repo.masters-masters.com/en) › [yuekong2010](https://repo.masters-masters.com/en/owners/yuekong2010) › [load-forecasting-algorithms](https://repo.masters-masters.com/en/repos/yuekong2010/load-forecasting-algorithms)

yuekong2010/load-forecasting-algorithms has 192 stars on GitHub. Its RepoMasters card: Prototype tier. 使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通…

| Field | Value |
| --- | --- |
| Owner | [yuekong2010](https://repo.masters-masters.com/en/owners/yuekong2010) |
| Stars | 192 |
| Forks | 39 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yuekong2010/load-forecasting-algorithms](https://github.com/yuekong2010/load-forecasting-algorithms) |

## Repository

使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.

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

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