Emhass

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, 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.

Fix
- Fixed message handling from request module.

Fix
- Fixed access to injection_dict for the first time that emhass is used.

Fix
- Fixed bugs with paths again, now using the official pathlib everywhere.

Fix
- Fixed bugs on handling data folder name.
- Improved warning messages when passing list of values with items detected as non digits.

Improvement
- Implemented data storage to survive add-on restarts.