Emhass

Improvement
- Now Python 3.11 is fully supported, thanks to pail23
- We now publish the optimization status on sensor.optim_status
- Bumped setuptools, skforecast, numpy, scipy, pandas
- A good bunch of documentation improvements thanks to g1za
- Improved code coverage (a little bit ;-)
Fix
- Some fixes managing time zones, thanks to pail23
- Bug fix on grid cost function equation, thanks to michaelpiron
- Applying a first set of fixes proposed by smurfix:
- Don't ignore HTTP errors
- Handle missing variable correctly
- Slight error message improvement
- Just use the default solver
- Get locations from environment in non-app mode
- Tolerate running directly from source

Improvement
- Improved documentation, thanks to g1za
- Bumped skforecast to 0.10.1
- Added a new initial script for exploration of time series clustering. This will one day replace the need to configure the house load sensor with substracted deferrable load consumption
Fix
- Updated automated tesing, dropped support for Python 3.8

Improvement
- Finally added support for ingress thanks to the work from siku2
- Added a devcontainer and pave the way for ingress access
Fix
- Added some code to fix some numerical syntax issues in tables

Improvement
- Bumped pvlib to 0.10.1
- Updated documentation for forecasts methods.
Fix
- Fixed error message on utils.py

Improvement
- Bumped skforecast to latest 0.9.1.
- The standalone dockerfile was updated by majorforg to include the CBC solver.
Fix
- Fix rounding for price & cost forecasts by purcell-lab

Improvement
- Added support for data reconstruction when missing values on last window for ML forecaster prediction.
- Added treatment of SOCtarget passed at runtime for day-ahead optimization.
- Added publish_prefix key to pass a common prefix to all published data.
Fix
- Patched sensor rounding problem.
- Bump myst-parser from 1.0.0 to 2.0.0
- Fixed missing attributes is the sensors when using the custom IDs.