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Prepared new version
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davidusb-geek committed Mar 5, 2023
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4 changes: 2 additions & 2 deletions CHANGELOG.md
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# Changelog

## [Unreleased]
## [0.4.0] - 2023-03-06
### Improvement
- A brand new load forecast module and more... The new forecast module can actually be used to foreast any Home Assistant variable. The API provides fit and predict methods. By the default it provides a more efficient way to forecast the power load consumption. It is based on the skforecast module that uses scikit-learn regression models considering auto-regression lags as features. The hyperparameter optimization is proposed using bayesian optimization from the skopt module.
- A brand new load forecast module and more... The new forecast module can actually be used to foreast any Home Assistant variable. The API provides fit, predict and tune methods. By the default it provides a more efficient way to forecast the power load consumption. It is based on the skforecast module that uses scikit-learn regression models considering auto-regression lags as features. The hyperparameter optimization is proposed using bayesian optimization from the optuna module.
- A new documentation section covering the new forecast module.
### Fix
- Fixed Solar.Forecast issues with lists of parameters.
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2 changes: 1 addition & 1 deletion docs/conf.py
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author = 'David HERNANDEZ'

# The full version, including alpha/beta/rc tags
release = '0.3.36'
release = '0.4.0'

# -- General configuration ---------------------------------------------------

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2 changes: 1 addition & 1 deletion setup.py
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setup(
name='emhass', # Required
version='0.3.36', # Required
version='0.4.0', # Required
description='An Energy Management System for Home Assistant', # Optional
long_description=long_description, # Optional
long_description_content_type='text/markdown', # Optional (see note above)
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