Renewcast

Forecasting renewable energy generation in EU countries with machine learning algorithms, based on Streamlit and sktime.
https://github.com/derevirn/renewcast

Keywords

machine-learning pycaret renewable-energy streamlit time-series time-series-forecasting

Last synced: over 1 year ago
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Renewcast: Forecasting Renewable Electricity Generation in EU Countries.

README.md

Renewcast

A dashboard app that provides forecasts for renewable electricity generation in EU countries, based on Streamlit and PyCaret . Users can select the country and the forecasting model of their preference, ranging from classical approaches to machine learning models. The app has been deployed to Oracle Cloud and is available here.

Renewcast

Towards Data Science Article:

Forecasting Renewable Energy Generation with Streamlit and sktime

(The source code has been significantly updated after I published this article, so click here for the old version.)


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Total Commits: 60
Total Committers: 1
Avg Commits per committer: 60.0
Development Distribution Score (DDS): 0.0

Commits in past year: 38
Committers in past year: 1
Avg Commits per committer in past year: 38.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Giannis Tolios d****n@g****m 60

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Dependencies

requirements.txt pypi
  • entsoe-py ==0.4.3
  • pycaret ==3.0.0rc2
  • python-dotenv *
  • statsforecast ==0.5.6
  • streamlit ==1.10.0

Score: 3.58351893845611