Tibber - Schedul prices upcoming 24 hours prices!

Feature Requests
293

Hi,
I have given some thought to the battery charging script and
would like to put the following functions & code up for discussion…

  1. Alternative to input_number.tibber_cheap_energy_min_price_difference template sensor with the name sensor.strompreis_min_diff_ber
{{ (float(states('sensor.tibber_prices_complete_rest_min')) / 100 * ( 100 - float(states('input_number.bkw_bat_price_effi_limit'))) / 100 ) | round (4) }}

Takes the minimum electricity price sensor.tibber_prices_complete_rest_min
and calculates the minimum required difference from the charging efficiency input_number.bkw_bat_price_effi_limit.
The input_number.bkw_bat_price_effi_limit must be created as a helper.

  1. Calculate the currently available energy content of a battery in sensor.delta_2_max_energieinhalt_nutzbar_akt
{{ (float(states('input_number.delta_2_max_energieinhalt')) / 100 * (float(states('sensor.delta_2_max_battery_level')) - float(states('sensor.delta_2_max_min_discharge_level_offset')))) | round (3) }}
  1. Use your average power consumption and the previously calculated energy content to derive your maximum running time for a feed-in
{{ (float(states('sensor.delta_2_max_energieinhalt_nutzbar_akt')) / float(states('sensor.tibber_verbrauch_erzeugung_avg')) * 1000) | round (1) }}
  1. Dynamically calculate the maximum price at which feed-in can take place based on the available battery hours.
{% set x = float(states('sensor.delta_2_max_energieinhalt_nutzbar_max_stunden')) | round | int | default(0) %}
{{ ((state_attr('sensor.tibber_prices', 'today') | selectattr('startsAt', 'ge', now().strftime('%Y-%m-%dT%H')) | selectattr('total', 'ge',  float(states('input_number.strompreis_einspeisegrenze'))) | map(attribute='total') | list | sort (reverse=true)) [x]) * 100 }}

Maybe one of you has additional ideas about the functions… :wink: