hass.tibber_prices/custom_components/tibber_prices/utils
Julian Pawlowski 325d855997 feat(utils): add coefficient of variation (CV) calculation
Add calculate_coefficient_of_variation() as central utility function:
- CV = (std_dev / mean) * 100 as standardized volatility measure
- calculate_volatility_with_cv() returns both level and numeric CV
- Volatility sensors now expose CV in attributes for transparency

Used as foundation for quality gates, adaptive smoothing, and period statistics.

Impact: Volatility sensors show numeric CV percentage alongside categorical level,
enabling users to see exact price variation.
2025-12-22 23:21:38 +00:00
..
__init__.py feat(utils): add coefficient of variation (CV) calculation 2025-12-22 23:21:38 +00:00
average.py feat(sensors): always show both mean and median in average sensor attributes 2025-12-18 15:12:30 +00:00
price.py feat(utils): add coefficient of variation (CV) calculation 2025-12-22 23:21:38 +00:00