Tibber Price Information & Ratings

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• Extended DescriptionsControls whether entity attributes include detailed explanations and usage tips. • Disabled (default): Brief description only • Enabled: Detailed explanation + practical usage examples Example: Disabled = 1 attribute Enabled = 2 additional attributes
• Average Sensor DisplayChoose which statistical measure to display in the sensor state for average price sensors. The other value will be shown as an attribute. • Median (default): Shows the 'typical' price, resistant to extreme spikes - best for display and human interpretation • Arithmetic Mean: Shows the true mathematical average including all prices - best when you need exact cost calculations For automations, use the attribute price_mean or price_median to access both values regardless of this setting.
• Display ModeChoose how prices are displayed: • Base Currency (€/kWh, kr/kWh): Decimal values (e.g., 0.25 €/kWh) - differences visible from 3rd-4th decimal place • Subunit Currency (ct/kWh, øre/kWh): Larger values (e.g., 25.00 ct/kWh) - differences visible from 1st decimal place Default depends on your currency: • EUR → Subunit (cents) - German/Dutch preference • NOK/SEK/DKK → Base (kroner) - Scandinavian preference • USD/GBP → Base currency 💡 Tip: When selecting Subunit Currency, you can enable the additional "Current Electricity Price (Energy Dashboard)" sensor (disabled by default).
• Low ThresholdPercentage below the trailing 24-hour average that the current price must be to qualify as 'low' rating. Example: -10 means at least 10% below average. Sensors with this rating indicate favorable time windows. Default: -10%
• High ThresholdPercentage above the trailing 24-hour average that the current price must be to qualify as 'high' rating. Example: 10 means at least 10% above average. Sensors with this rating warn about expensive time windows. Default: 10%
• HysteresisPercentage band around thresholds to prevent rapid state changes. When the rating is already LOW, the price must rise above (threshold + hysteresis) to switch to NORMAL. Similarly, HIGH requires the price to fall below (threshold - hysteresis) to leave. This provides stability for automations that react to rating changes. Set to 0 to disable. Default: 2%
• Gap ToleranceMaximum number of consecutive intervals that can be 'smoothed out' if they differ from surrounding ratings. Small isolated rating changes are merged into the dominant neighboring block. This provides stability for automations by preventing brief rating spikes from triggering unnecessary actions. Example: 1 means a single 'normal' interval surrounded by 'high' intervals gets corrected to 'high'. Set to 0 to disable. Default: 1
• Gap ToleranceMaximum number of consecutive intervals that can be 'smoothed out' if they differ from surrounding price levels. Small isolated level changes are merged into the dominant neighboring block. Example: 1 means a single 'normal' interval surrounded by 'cheap' intervals gets corrected to 'cheap'. Set to 0 to disable. Default: 1
• Minimum Period LengthMinimum duration for a period to be considered as 'best price'. Longer periods are more practical for running appliances like dishwashers or heat pumps. Best price periods require 60 minutes minimum (vs. 30 minutes for peak price warnings) because they should provide meaningful time windows for consumption planning, not just brief opportunities.
• Price Level FilterOnly show best price periods if they contain intervals with price levels ≤ selected value. For example, selecting 'Cheap' means the period must have at least one 'Very cheap' or 'Cheap' interval. This ensures 'best price' periods are not just relatively cheap for the day, but actually cheap in absolute terms. Select 'Any' to show best prices regardless of their absolute price level.
• Gap ToleranceMaximum number of consecutive intervals allowed that deviate by exactly one level step from the required level. For example: with 'Cheap' filter and gap count 1, a sequence 'Cheap, Cheap, Normal, Cheap' is accepted (Normal is one step above Cheap). This prevents periods from being split by occasional level deviations. Note: Gap tolerance requires periods ≥90 minutes (6 intervals) to detect outliers effectively. Default: 0 (strict filtering, no tolerance).
• FlexibilityMaximum above the daily minimum price that intervals can be and still qualify as 'best price'. Recommended: 15-20 with relaxation enabled (default), or 25-35 without relaxation. Maximum: 50 (hard cap for reliable period detection).
• Minimum DistanceEnsures periods are significantly cheaper than the daily average, not just marginally below it. This filters out noise and prevents marking slightly-below-average periods as 'best price' on days with flat prices. Higher values = stricter filtering (only truly cheap periods qualify). Default: 5 means periods must be at least 5% below the daily average.
• Achieve Minimum CountWhen enabled, filters will be gradually relaxed if not enough periods are found. This attempts to reach the desired minimum number of periods, which may include less optimal time windows as best-price periods.
• Minimum PeriodsMinimum number of best price periods to aim for per day. Filters will be relaxed step-by-step to try achieving this count. Only active when 'Achieve Minimum Count' is enabled. Default: 1
• Relaxation AttemptsHow many flex levels (attempts) to try before giving up. Each attempt runs all filter combinations at the new flex level. More attempts increase the chance of finding additional periods at the cost of longer processing time.
• Extend to Very Cheap IntervalsWhen enabled, detected best price periods expand outward to absorb adjacent intervals with a 'Very cheap' price level. This widens low-price windows to better capture extremely cheap intervals at the edges of detected periods.
• Maximum Extension IntervalsMaximum number of additional intervals to absorb per side (left and right edge). Each interval is 15 minutes. Example: 4 intervals = up to 1 hour extension per edge. Default: 4
• Geometric Flex BonusExtra flex percentage applied to intervals that fall inside a detected price valley (V-shape). When a valley pattern is detected for the day, intervals within the valley zone get this additional tolerance, making the period detector more likely to include them. 0 = disabled. Default: 0
• W-Shape Segment ForcingWhen enabled, days with a W-shaped price curve (two valleys separated by a central peak) split at the central peak. Period detection runs independently for each valley side, ensuring each valley has the required number of periods. This prevents both periods from clustering in the same valley. Requires the day pattern sensor to detect a 'double_dip' pattern.
• Periods per SegmentMinimum number of best price periods required per valley side when W-shape segment forcing is enabled. Each side must independently produce at least this many periods. Default: 1
• Minimum Period LengthMinimum duration for a period to be considered as 'peak price'. Peak price warnings are allowed for shorter periods (30 minutes minimum vs. 60 minutes for best price) because brief expensive spikes are worth alerting about, even if they're too short for consumption planning.
• Price Level FilterOnly show peak price periods if they contain intervals with price levels ≥ selected value. For example, selecting 'Expensive' means the period must have at least one 'Expensive' or 'Very expensive' interval. This ensures 'peak price' periods are not just relatively expensive for the day, but actually expensive in absolute terms. Select 'Any' to show peak prices regardless of their absolute price level.
• Gap ToleranceMaximum number of consecutive intervals allowed that deviate by exactly one level step from the required level. For example: with 'Expensive' filter and gap count 2, a sequence 'Expensive, Normal, Normal, Expensive' is accepted (Normal is one step below Expensive). This prevents periods from being split by occasional level deviations. Note: Gap tolerance requires periods ≥90 minutes (6 intervals) to detect outliers effectively. Default: 0 (strict filtering, no tolerance).
• FlexibilityMaximum below the daily maximum price that intervals can be and still qualify as 'peak price'. Recommended: -15 to -20 with relaxation enabled (default), or -25 to -35 without relaxation. Maximum: -50 (hard cap for reliable period detection). Note: Negative values indicate distance below maximum.
• Minimum DistanceEnsures periods are significantly more expensive than the daily average, not just marginally above it. This filters out noise and prevents marking slightly-above-average periods as 'peak price' on days with flat prices. Higher values = stricter filtering (only truly expensive periods qualify). Default: 5 means periods must be at least 5% above the daily average.
• Achieve Minimum CountWhen enabled, filters will be gradually relaxed if not enough periods are found. This attempts to reach the desired minimum number of periods to ensure you're warned about expensive periods even on days with unusual price patterns.
• Minimum PeriodsMinimum number of peak price periods to aim for per day. Filters will be relaxed step-by-step to try achieving this count. Only active when 'Achieve Minimum Count' is enabled. Default: 1
• Relaxation AttemptsHow many flex levels (attempts) to try before giving up. Each attempt runs all filter combinations at the new flex level. More attempts increase the chance of finding additional peak periods at the cost of longer processing time.
• Extend to Very Expensive IntervalsWhen enabled, detected peak price periods expand outward to absorb adjacent intervals with a 'Very expensive' price level. This widens high-price windows to better capture extremely expensive intervals at the edges of detected periods.
• Maximum Extension IntervalsMaximum number of additional intervals to absorb per side (left and right edge). Each interval is 15 minutes. Example: 4 intervals = up to 1 hour extension per edge. Default: 4
• Geometric Flex BonusExtra flex percentage applied to intervals that fall inside a detected price peak (Λ-shape). When a peak pattern is detected for the day, intervals within the peak zone get this additional tolerance, making the period detector more likely to include them. 0 = disabled. Default: 0
• M-Shape Segment ForcingWhen enabled, days with an M-shaped price curve (two peaks separated by a central valley) split at the central valley. Period detection runs independently for each peak side, ensuring each peak has the required number of periods. This prevents both periods from clustering in the same peak. Requires the day pattern sensor to detect a 'duck_curve' pattern.
• Periods per SegmentMinimum number of peak price periods required per peak side when M-shape segment forcing is enabled. Each side must independently produce at least this many periods. Default: 1
• Rising ThresholdPercentage that the average of the next N hours must be above the current price to qualify as 'rising' trend. Example: 3 means average is at least 3% higher → prices will rise. Typical values: 3-10%. Default: 3%
• Strongly Rising ThresholdPercentage for 'strongly rising' trend. Must be higher than rising threshold. Example: 9 means average is at least 9% higher → prices will rise significantly. Typical values: 6-20%. Default: 9%
• Falling ThresholdPercentage (negative) that the average of the next N hours must be below the current price to qualify as 'falling' trend. Example: -3 means average is at least 3% lower → prices will fall. Typical values: -3 to -10%. Default: -3%
• Strongly Falling ThresholdPercentage (negative) for 'strongly falling' trend. Must be lower (more negative) than falling threshold. Example: -9 means average is at least 9% lower → prices will fall significantly. Typical values: -6 to -20%. Default: -9%
• Trend Change ConfirmationNumber of consecutive 15-minute intervals that must confirm a new trend direction before reporting a trend change. Higher values mean more stability and fewer false changes, lower values mean faster detection. Range: 2 (30 min) to 6 (90 min). Default: 3 (45 min)
• Min. Price Change (Trend)Minimum absolute price difference (in ct/øre) required for a 'rising' or 'falling' trend. Prevents tiny price changes from triggering trends at low price levels. Set to 0 to disable (pure percentage mode). Default: 0.5
• Min. Price Change (Strong Trend)Minimum absolute price difference (in ct/øre) required for a 'strongly rising' or 'strongly falling' trend. Should be higher than the regular trend minimum. Set to 0 to disable. Default: 1.5
• Moderate ThresholdCoefficient of Variation (CV) at which prices are considered 'moderately volatile'. CV = (standard deviation / mean) × 100%. Example: 15 means price fluctuations of ±15% around average. Sensors show this classification, trend sensors become more sensitive. Default: 15%
• High ThresholdCoefficient of Variation (CV) at which prices are considered 'highly volatile'. Example: 30 means price fluctuations of ±30% around average. Larger price jumps expected, trend sensors become less sensitive. Default: 30%
• Very High ThresholdCoefficient of Variation (CV) at which prices are considered 'very highly volatile'. Example: 50 means extreme price fluctuations of ±50% around average. On such days, strong price spikes are likely. Default: 50%