Water heater was not a realistic example - people want hot water immediately regardless of price. Home battery storage is the perfect example: purpose-built for price arbitrage, high consumption (5-10 kW), actual ad-hoc price checking makes sense
Co-authored-by: jpawlowski <75446+jpawlowski@users.noreply.github.com>
- Changed from > 15 to >= 15 (include moderate volatility, not just high)
- Updated titles and descriptions for accuracy (moderate+ instead of high-only)
- Added volatility threshold guide (CV ranges and meanings)
- Clarified what CV thresholds mean in real-world savings
- Made examples more practical and user-friendly
Co-authored-by: jpawlowski <75446+jpawlowski@users.noreply.github.com>
Replaced incorrect day_volatility_% on binary sensor with actual coefficient_of_variation attribute from sensor.tibber_home_volatility_today
Co-authored-by: jpawlowski <75446+jpawlowski@users.noreply.github.com>
Expanded user documentation with detailed guidance on average sensors:
1. sensors.md (+182 lines):
- New 'Average Price Sensors' section with mean vs median explanation
- 3 real-world automation examples (heat pump, dishwasher, EV charging)
- Display configuration guide with use-case recommendations
2. configuration.md (+75 lines):
- New 'Average Sensor Display Settings' section
- Comparison table of display modes (mean/median/both)
- Attribute availability details and recorder implications
3. Minor updates to installation.md and versioned docs
Impact: Users can now understand when to use mean vs median and how to
configure display format for their specific automation needs.
