EMHASS version 0.4.8

Fix

• Fixed to correct index length for ML forecaster prediction series.

Full Changelog: v0.4.7...v0.4.8

EMHASS version 0.4.7

Fix

• Fixed wrong column name for var_load when using predict with ML forecaster.

Full Changelog: v0...v0.4.7

EMHASS version 0.4.6

Fix

• Fixed wrong path for saved ML forecaster model.

Full Changelog: v0.4.5...v0.4.6

EMHASS version 0.4.5

Fix

• Fixed default behavior for passed data.
• Added a new graph for tune results.

Full Changelog: v0.4.4...v0.4.5

EMHASS version 0.4.4

Fix

• Added missing possibility to set the method for load forecast to 'mlforecaster'.
• Fixed logging formatting.

Full Changelog: v0.4.3...v0.4.4

EMHASS version 0.4.3

Some bug fixing

Fix

• Fixed logging.
• Fixed missing module on docker standalone mode.

Full Changelog: v0.4.2...v0.4.3

EMHASS version 0.4.2

Some bug fixes.
Full Changelog: v0.4.1...v0.4.2

EMHASS version 0.4.1

Some nice improvements adapted to the new version v0.4.x:

Improvement

• Improved the documentation and the in-code docstrings.
• Added the possibility to save the optimized model after a tuning routine.
• Added the possibility to publish predict results to a Home Assistant sensor.
• Added the possibility to provide custom entity_id, unit_of_measurement and friendly_name for each published data.

Full Changelog: v0.4.0...v0.4.1

EMHASS version 0.4.0

The new Machine Learning forecast module is here!
This will provide a better forecast model for the load power consumption forecast.

Improvement

• A brand new load forecast module and more... The new forecast module can actually be used to forecast 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.
• Fixed latex equations rendering on documentation, dropped Mathjax.
• Refactored images in documentation, now using only SVG for plotly figures.
• Bumped requirements to latest non-conflicting versions.

What's Changed

• Update jinja2 requirement from <3.1 to <3.2 by @dependabot in #53
• Bump markupsafe from 2.0.1 to 2.1.2 by @dependabot in #52
• Dev/new forecast part1 by @davidusb-geek in #57
• Dev/new forecast part2 by @davidusb-geek in #59

Full Changelog: v0.3.36...v0.4.0

EMHASS version 0.3.36

Full Changelog: v0.3.35...v0.3.36