hass.tibber_prices/docs/user
Julian Pawlowski b46f8a2d28 docs(periods): fix corrupted period-calculation.md and add outlier filtering documentation
Completely rewrote period-calculation.md after severe corruption (massive text
duplication throughout the file made it 2489 lines).

Changes:
- Fixed formatting: Removed all duplicate text and headers
- Reduced file size: 2594 lines down to 516 lines (clean, readable structure)
- Added section 5: "Statistical Outlier Filtering (NEW)" explaining:
  - Linear regression-based spike detection (95% confidence intervals)
  - Symmetry checking to preserve legitimate price shifts
  - Enhanced zigzag detection with relative volatility
  - Data integrity guarantees (original prices always used)
  - New period attributes: period_interval_smoothed_count
- Added troubleshooting: "Price spikes breaking periods" section
- Added technical details: Algorithm constants and implementation notes

Impact: Users can now understand how outlier filtering prevents isolated
price spikes from breaking continuous periods. Documentation is readable
again with no duplicate content.
2025-11-12 16:59:07 +00:00
..
automation-examples.md docs: restructure documentation and add AI development disclosure 2025-11-09 14:25:27 +00:00
configuration.md docs: restructure documentation and add AI development disclosure 2025-11-09 14:25:27 +00:00
installation.md docs: restructure documentation and add AI development disclosure 2025-11-09 14:25:27 +00:00
period-calculation.md docs(periods): fix corrupted period-calculation.md and add outlier filtering documentation 2025-11-12 16:59:07 +00:00
README.md feat(docs): enhance period calculation documentation and add detailed guides for best/peak price periods 2025-11-10 11:54:06 +00:00
sensors.md feat(docs): enhance period calculation documentation and add detailed guides for best/peak price periods 2025-11-10 11:54:06 +00:00
services.md docs: restructure documentation and add AI development disclosure 2025-11-09 14:25:27 +00:00
troubleshooting.md docs: restructure documentation and add AI development disclosure 2025-11-09 14:25:27 +00:00

User Documentation

Welcome to Tibber Prices! This integration provides enhanced electricity price data from Tibber with quarter-hourly precision, statistical analysis, and intelligent ratings.

📚 Documentation

🚀 Quick Start

  1. Install via HACS (add as custom repository)
  2. Add Integration in Home Assistant → Settings → Devices & Services
  3. Enter Tibber API Token (get yours at developer.tibber.com)
  4. Configure Price Thresholds (optional, defaults work for most users)
  5. Start Using Sensors in automations, dashboards, and scripts!

Key Features

  • Quarter-hourly precision - 15-minute intervals for accurate price tracking
  • Statistical analysis - Trailing/leading 24h averages for context
  • Price ratings - LOW/NORMAL/HIGH classification based on your thresholds
  • Best/Peak hour detection - Automatic detection of cheapest/peak periods with configurable filters (learn how)
  • ApexCharts integration - Custom services for beautiful price charts
  • Multi-currency support - EUR, NOK, SEK with proper minor units (ct, øre, öre)

🤝 Need Help?


Note: These guides are for end users. If you want to contribute to development, see the Developer Documentation.