ritikdhame / Electricity_Demand_and_Price_forecasting

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 price prediction

Date Created 2023-07-18 (about a year ago)

Commits 2 (last one about a year ago)

Stargazers 51 (0 this week)

Watchers 2 (0 this week)

Forks 6

License unknown

Ranking

RepositoryStats indexes 595,856 repositories, of these ritikdhame/Electricity_Demand_and_Price_forecasting is ranked #463,222 (22nd percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,160/17,543.

ritikdhame/Electricity_Demand_and_Price_forecasting is also tagged with popular topics, for these it's ranked: cnn (#447/556)

All Topics

cnn gru lstm cnn-lstm lstm-attention xgboost-regression

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

2 commits on the default branch (main) since jan '22

Yearly Commits

Commits to the default branch (main) per year

Issue History

No issues have been posted

Languages

The only known language in this repository is Jupyter Notebook

updated: 2024-12-12 @ 11:42pm, id: 667971594 / R_kgDOJ9BwCg