Dynamic electricity pricing

Dynamischer Stromtarif: 15-minute-resolution price data, 30-hour forecast, cheapest-window scheduling. Price slots carry an END-timestamp; get_current_price() picks the smallest end greater than now.

Entity	Key	Unit	Update
Current Electricity Price	current_electricity_price	EUR/kWh	15 min
Last Valid Electricity Price	stable_electricity_price	EUR/kWh	15 min
Average / Lowest / Highest Today	average/lowest/highest_electricity_price	EUR/kWh	1 h
Average / Lowest / Highest Tomorrow	tomorrow_average/lowest/highest_price	EUR/kWh	1 h
Negative Price Slots (today / tomorrow)	negative_price_slots_today/tomorrow	count	1 h
Cheapest Charging Window Today	cheapest_charging_window_today	timestamp	15 min
Cheapest Charging Window Tomorrow	cheapest_charging_window_tomorrow	timestamp	15 min

Binary sensors

Entity	ON when
cheap_electricity	Current price is below today's average
cheapest_hour_now	Current 15-min slot is the cheapest in the next ~30 h

stable_electricity_price is the price source for cost sensors: it survives brief zero/unavailable API responses so cost accumulation does not skip. Tomorrow's price sensors are unknown until day-ahead prices are published (typically around 13:00 CET).

Price-forecast attributes

current_electricity_price carries these attributes:

Attribute	Description
forecast	Rolling 24–30 h price list (each entry {start, end, price})
cheapest_future_hour	ISO-8601 start of the cheapest upcoming slot
cheapest_future_price	EUR/kWh of that slot
spot_price	Market/exchange price of the active slot (net, ex grid costs & VAT)
grid_costs	Net grid-cost adder (energy tax + purchasing + fixed tariff + dynamic markup + feed-in adjustment)
grid_cost_components	Per-component breakdown (all net / ex-VAT)
vat_rate	VAT rate applied (e.g. 0.19)
uses_fallback_grid_costs	true when grid costs are estimated rather than contract-exact

Decomposition is exact: all_in = (spot_price + grid_costs) × (1 + vat_rate). spot_price varies per 15-min slot; grid-cost components are flat daily constants.

Cheapest-window sensors additionally expose start, end, average_price, duration_minutes, slot_count. The today-sensor locks in the pick (via RestoreSensor) so it does not wander mid-slot; the tomorrow-sensor re-picks on each refresh.

Forecast list example

Compatible with Tibber / ENTSO-E-style cards like apexcharts-card:

forecast:
  - start: "2026-02-28T14:00:00+00:00"
    end:   "2026-02-28T14:15:00+00:00"
    price: 0.284100
  - start: "2026-02-28T14:15:00+00:00"
    end:   "2026-02-28T14:30:00+00:00"
    price: 0.279300
  # up to 120 slots (15-min resolution, up to 30 h ahead)

cheapest_future_hour: "2026-02-28T22:00:00+00:00"
cheapest_future_price: 0.198400

For a ready-made 30-hour price-forecast chart (apexcharts-card, color_threshold-coloured), see the "Preise und Kosten" view in dashboard/dashboard.yaml. Copy the custom:apexcharts-card block, replace the entity prefix, done.

Dynamic-Pulse price guarantee

DP contract only. sensor.<sys>_dynamic_pulse_price_guarantee exposes the raw price_guarantee_value from your DP subscription in EUR/kWh. The guarantee comes with terms and conditions on the 1KOMMA5° side that this integration does not (and cannot) model, so treat the value as informational.

Not a hard price cap

The guarantee is not the maximum price per kWh you will pay. See the FAQ.

Negative-price edges

The negative_price_slots_today / _tomorrow counters land as sensor values; the positive↔negative edge of the active slot additionally fires the onekommafive_negative_price_started / _ended bus event.