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GitHub / abodh / Electricity-cost-forecasting-using-machine-learning-and-deep-learning-models

Comparative study of ANN, CNN, LSTM, and ARIMA for time-series forecasting

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abodh%2FElectricity-cost-forecasting-using-machine-learning-and-deep-learning-models

Stars: 14
Forks: 4
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 1.09 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 1 year ago
Pushed at: over 4 years ago
Last synced at: about 1 year ago

Commit Stats

Commits: 8
Authors: 1
Mean commits per author: 8.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/abodh/Electricity-cost-forecasting-using-machine-learning-and-deep-learning-models

Topics: ann, arima, cnn, electric-power, lstm, powersystems, time-series, time-series-analysis, timeseries-forecasting

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