# ritikdhame/Electricity\_Demand\_and\_Price\_forecasting

<https://repo.masters-masters.com/en/repos/ritikdhame/Electricity_Demand_and_Price_forecasting>

[Home](https://repo.masters-masters.com/en) › [ritikdhame](https://repo.masters-masters.com/en/owners/ritikdhame) › [Electricity\_Demand\_and\_Price\_forecasting](https://repo.masters-masters.com/en/repos/ritikdhame/Electricity_Demand_and_Price_forecasting)

ritikdhame/Electricity\_Demand\_and\_Price\_forecasting has 154 stars on GitHub. Its RepoMasters card: Prototype tier. Building Time series forecasting models…

| Field | Value |
| --- | --- |
| Owner | [ritikdhame](https://repo.masters-masters.com/en/owners/ritikdhame) |
| Stars | 154 |
| Forks | 16 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2023 |
| Topics | cnn, cnn-lstm, gru, lstm, lstm-attention, xgboost-regression |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ritikdhame/Electricity\_Demand\_and\_Price\_forecasting](https://github.com/ritikdhame/Electricity_Demand_and_Price_forecasting) |

## Repository

Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and p…

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

## Nearby in Jupyter Notebook

- [xccds/Python\_AI\_Game · ★ 154 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/xccds/Python_AI_Game)
- [be2rlab/gsplatloc · ★ 154 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/be2rlab/gsplatloc)
- [limuloo/DreamRenderer · ★ 154 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/limuloo/DreamRenderer)
- [milcent/benford\_py · ★ 154 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/milcent/benford_py)
- [rabernat/intro\_to\_physical\_oceanography · ★ 154 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/rabernat/intro_to_physical_oceanography)
- [klane/databall · ★ 154 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/klane/databall)

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