WARNING in optimization: No outdoor temp found. Using default 15.0C.

[purcell-lab]

Running EMHASS v0.15.6, I thought if the outdoor temperature wasn't provided at runtime the optimisation would utilise the temp_air profile from OpenMeteo:

[2026-01-21 21:25:25,427] DEBUG in forecast: get_weather_forecast returning:
                           temp_air  relative_humidity  ...  dhi    dni
2026-01-21 21:00:00+10:00      21.5               79.0  ...  0.0    0.0
2026-01-21 21:30:00+10:00      21.4               79.0  ...  0.0    0.0
2026-01-21 22:00:00+10:00      21.2               80.0  ...  0.0    0.0
2026-01-21 22:30:00+10:00      20.9               81.0  ...  0.0    0.0
2026-01-21 23:00:00+10:00      20.6               83.0  ...  0.0    0.0
...                             ...                ...  ...  ...    ...
2026-01-24 18:30:00+10:00      25.8               81.0  ...  9.6  122.5
2026-01-24 19:00:00+10:00      25.3               83.0  ...  0.0    0.0
2026-01-24 19:30:00+10:00      24.9               85.0  ...  0.0    0.0
2026-01-24 20:00:00+10:00      24.6               87.0  ...  0.0    0.0
2026-01-24 20:30:00+10:00      24.3               89.0  ...  0.0    0.0

However, the optimisation reports it can't find outdoor temp and is just using a default of 15.0C:

[2026-01-21 21:25:25,933] DEBUG in optimization: Processing deferrable load 1
[2026-01-21 21:25:25,933] DEBUG in optimization: Load 1 is a thermal deferrable load.
[2026-01-21 21:25:25,933] DEBUG in optimization: Setting up Thermal Load 1
[2026-01-21 21:25:25,933] WARNING in optimization: No outdoor temp found. Using default 15.0C.
[2026-01-21 21:25:25,933] DEBUG in optimization: Final params -> Start Temp: 28.0, First Outdoor Temp: 15.0
[2026-01-21 21:25:25,957] DEBUG in optimization: Load 1: Thermal constraints set.

[davidusb-geek]

It will only fallback if you're using open meteo as the weather forecast method.
Is that the case for you?
I tested this after v0.15.6 and it worked fine

[purcell-lab]

Yes. I'm using open metro as my weather forecast method.

[davidusb-geek]

I have just tested this in my own install and internally the system is correctly using the temp_air variable from open-meteo

[purcell-lab]

This remains an issue for me.

The debug Logging no longer shows details for each load, but my cooling load manifests this issue as it decreases from current temp 26 deg down to 15 deg over the optimisation period. This issue maybe hidden for heating loads, as the 15 deg default is likley below typical heating thresholds.

Please reopen issue.

[davidusb-geek]

If you can share longer logs and config we might be able to debug this

[purcell-lab]

No problem, I am using open-meteo as weather forecast method.

I have included some additional debug to show prepared outdoor temp.

When I specify outdoor temp in runtime payload, the calculation is correct.

[2026-01-25 12:30:55,806] INFO in web_server: Passed runtime parameters: {'prediction_horizon': 144, 'prod_price_forecast': [0.0361, 0.0253, 0.0316, 0.04, 0.0457, 0.0521, 0.0626, 0.0722, 0.0845, 0.1048, 0.1297, 0.1475, 0.1505, 0.1449, 0.1382, 0.1329, 0.1288, 0.1252, 0.1187, 0.1102, 0.1022, 0.0948, 0.0863, 0.0802, 0.077, 0.0728, 0.0696, 0.0672, 0.066, 0.0681, 0.0696, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.04, 0.04, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.05, 0.05, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.04, 0.04, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.04, 0.04, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01], 'load_cost_forecast': [0.079, 0.0672, 0.0741, 0.0833, 0.0896, 0.0966, 0.1081, 0.3265, 0.3401, 0.3624, 0.3898, 0.4094, 0.4126, 0.4065, 0.3992, 0.3933, 0.3888, 0.2253, 0.2183, 0.2089, 0.2001, 0.1919, 0.1825, 0.1758, 0.1723, 0.1677, 0.1642, 0.1616, 0.1602, 0.1625, 0.1642, 0.16, 0.16, 0.16, 0.16, 0.16, 0.15, 0.14, 0.13, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.12, 0.12, 0.21, 0.21, 0.32, 0.32, 0.29, 0.26, 0.23, 0.19, 0.16, 0.16, 0.16, 0.16, 0.15, 0.15, 0.15, 0.15, 0.15, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.15, 0.14, 0.13, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.12, 0.12, 0.21, 0.21, 0.32, 0.32, 0.29, 0.26, 0.23, 0.19, 0.16, 0.16, 0.16, 0.16, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.14, 0.14, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.09, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.11, 0.11, 0.21, 0.21, 0.32, 0.32, 0.32, 0.32, 0.29, 0.29, 0.23, 0.23, 0.16, 0.16, 0.16, 0.16, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.14, 0.14, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.09, 0.08, 0.08], 'num_def_loads': 8, 'def_load_config': [{}, {}, {}, {'thermal_config': {'heating_rate': -5.0, 'sense': 'cool', 'cooling_constant': 0.6, 'start_temperature': 25.8, 'overshoot_temperature': 20.0, 'desired_temperatures': [24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24]}}, {'thermal_config': {'heating_rate': 6.0, 'sense': 'heat', 'cooling_constant': 0.014, 'overshoot_temperature': 65.0, 'start_temperature': 64.0, 'desired_temperatures': [60, 60, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40]}}, {}, {}, {}], 
'outdoor_temperature_forecast': [33.0, 33.0, 33.0, 33.0, 32.5, 32.0, 31.5, 31.0, 30.5, 30.0, 29.0, 28.0, 27.5, 27.0, 26.5, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.5, 24.0, 24.5, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 31.5, 32.0, 32.5, 33.0, 33.0, 33.0, 33.0, 33.0, 33.0, 33.0, 32.5, 32.0, 31.0, 30.0, 29.5, 29.0, 28.0, 27.0, 27.0, 27.0, 26.5, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 23.5, 24.0, 25.0, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 28.5, 28.0, 28.0, 28.0, 27.5, 27.0, 27.0, 27.0, 26.5, 26.0, 26.0, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 22.5, 22.0, 22.5, 23.0, 23.5, 24.0, 25.0, 26.0, 26.5, 27.0, 27.0, 27.0, 27.5, 28.0, 28.0, 28.0], 'alpha': 0, 'beta': 1, 'def_total_hours': [40, 0, 0, 57, 5, 0, 24, 0], 'def_current_state': [1, 1, 0, 1, 0, 0, 1, 0], 'def_start_timestep': [0, 0, 0, 0, 0, 0, 0, 0], 'def_end_timestep': [0, 0, 0, 0, 0, 0, 0, 0], 'P_deferrable_nom': [440, 5500, 11520, 11000.0, 600, 11520, 770, 6000], 'treat_def_as_semi_cont': [1, 1, 0, 0, 1, 0, 1, 0], 'set_def_constant': [0, 0, 0, 0, 0, 0, 0, 0], 'def_start_penalty': [1, 0, 1, 1, 1, 1, 0, 0], 'weight_battery_charge': 0.0, 'weight_battery_discharge': 0.0, 'battery_nominal_energy_capacity': 160000, 'battery_discharge_power_max': 30000, 'battery_charge_power_max': 34510.33, 'soc_final': 0.85, 'battery_minimum_state_of_charge': 0.13, 'weather_forecast_cache_only': True, 'optimization_time_step': 30, 'entity_save': 'True', 'dont_post': 'False', 'soc_init': 0.5494166666666667}
...
...
[2026-01-25 12:30:55,850] INFO in forecast: The cached Open-Meteo JSON file is recent (age=15m, max_age=120m)
[2026-01-25 12:30:55,861] DEBUG in forecast: get_weather_forecast returning:
                           temp_air  relative_humidity  ...    dhi    dni
2026-01-25 12:30:00+10:00      31.3                 54  ...  334.0  321.0
2026-01-25 13:00:00+10:00      31.5                 54  ...  333.7  307.3
2026-01-25 13:30:00+10:00      31.5                 54  ...  319.5  337.7
2026-01-25 14:00:00+10:00      31.5                 54  ...  276.8  416.4
2026-01-25 14:30:00+10:00      32.0                 53  ...  220.6  524.6
...                             ...                ...  ...    ...    ...
2026-01-28 10:00:00+10:00      26.0                 56  ...  189.1  825.3
2026-01-28 10:30:00+10:00      26.6                 54  ...  210.6  811.8
2026-01-28 11:00:00+10:00      27.2                 52  ...  228.9  797.2
2026-01-28 11:30:00+10:00      27.8                 51  ...  245.1  780.6
2026-01-28 12:00:00+10:00      28.3                 50  ...  255.2  764.8
...
...
[2026-01-25 12:30:56,453] DEBUG in optimization: Processing deferrable load 0
[2026-01-25 12:30:56,453] DEBUG in optimization: Processing deferrable load 1
[2026-01-25 12:30:56,453] DEBUG in optimization: Processing deferrable load 2
[2026-01-25 12:30:56,454] DEBUG in optimization: Processing deferrable load 3
[2026-01-25 12:30:56,454] DEBUG in optimization: Prepared outdoor_temp (len=144, dtype=float64): [33.0, 33.0, 33.0, 33.0, 32.5, 32.0, 31.5, 31.0, 30.5, 30.0, 29.0, 28.0, 27.5, 27.0, 26.5, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.5, 24.0, 24.5, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 31.5, 32.0, 32.5, 33.0, 33.0, 33.0, 33.0, 33.0, 33.0, 33.0, 32.5, 32.0, 31.0, 30.0, 29.5, 29.0, 28.0, 27.0, 27.0, 27.0, 26.5, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 23.5, 24.0, 25.0, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 28.5, 28.0, 28.0, 28.0, 27.5, 27.0, 27.0, 27.0, 26.5, 26.0, 26.0, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 22.5, 22.0, 22.5, 23.0, 23.5, 24.0, 25.0, 26.0, 26.5, 27.0, 27.0, 27.0, 27.5, 28.0, 28.0, 28.0]
[2026-01-25 12:30:56,455] DEBUG in optimization: Processing deferrable load 4
[2026-01-25 12:30:56,455] DEBUG in optimization: Prepared outdoor_temp (len=144, dtype=float64): [33.0, 33.0, 33.0, 33.0, 32.5, 32.0, 31.5, 31.0, 30.5, 30.0, 29.0, 28.0, 27.5, 27.0, 26.5, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.0, 23.5, 24.0, 24.5, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 31.5, 32.0, 32.5, 33.0, 33.0, 33.0, 33.0, 33.0, 33.0, 33.0, 32.5, 32.0, 31.0, 30.0, 29.5, 29.0, 28.0, 27.0, 27.0, 27.0, 26.5, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 23.5, 24.0, 25.0, 26.0, 26.5, 27.0, 27.5, 28.0, 28.5, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 29.0, 28.5, 28.0, 28.0, 28.0, 27.5, 27.0, 27.0, 27.0, 26.5, 26.0, 26.0, 26.0, 25.5, 25.0, 25.0, 25.0, 25.0, 25.0, 24.5, 24.0, 24.0, 24.0, 23.5, 23.0, 23.0, 23.0, 23.0, 23.0, 22.5, 22.0, 22.5, 23.0, 23.5, 24.0, 25.0, 26.0, 26.5, 27.0, 27.0, 27.0, 27.5, 28.0, 28.0, 28.0]
[2026-01-25 12:30:56,456] DEBUG in optimization: Processing deferrable load 5
[2026-01-25 12:30:56,456] DEBUG in optimization: Processing deferrable load 6
[2026-01-25 12:30:56,457] DEBUG in optimization: Processing deferrable load 7

When I remove the outdoor_temperature_forecast from the payload, EMHASS reverts to a default of 15.0 deg C, I was hoping it would utilise the open-meteo temp_air values.

[2026-01-25 12:32:12,447] INFO in web_server: Passed runtime parameters: {'prediction_horizon': 144, 'prod_price_forecast': [0.0361, 0.0253, 0.0316, 0.04, 0.0457, 0.0521, 0.0626, 0.0722, 0.0845, 0.1048, 0.1297, 0.1475, 0.1505, 0.1449, 0.1382, 0.1329, 0.1288, 0.1252, 0.1187, 0.1102, 0.1022, 0.0948, 0.0863, 0.0802, 0.077, 0.0728, 0.0696, 0.0672, 0.066, 0.0681, 0.0696, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.04, 0.04, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.05, 0.05, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.04, 0.04, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.02, 0.02, 0.04, 0.04, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01], 'load_cost_forecast': [0.079, 0.0672, 0.0741, 0.0833, 0.0896, 0.0966, 0.1081, 0.3265, 0.3401, 0.3624, 0.3898, 0.4094, 0.4126, 0.4065, 0.3992, 0.3933, 0.3888, 0.2253, 0.2183, 0.2089, 0.2001, 0.1919, 0.1825, 0.1758, 0.1723, 0.1677, 0.1642, 0.1616, 0.1602, 0.1625, 0.1642, 0.16, 0.16, 0.16, 0.16, 0.16, 0.15, 0.14, 0.13, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.12, 0.12, 0.21, 0.21, 0.32, 0.32, 0.29, 0.26, 0.23, 0.19, 0.16, 0.16, 0.16, 0.16, 0.15, 0.15, 0.15, 0.15, 0.15, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.15, 0.14, 0.13, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.12, 0.12, 0.21, 0.21, 0.32, 0.32, 0.29, 0.26, 0.23, 0.19, 0.16, 0.16, 0.16, 0.16, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.14, 0.14, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.09, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.11, 0.11, 0.21, 0.21, 0.32, 0.32, 0.32, 0.32, 0.29, 0.29, 0.23, 0.23, 0.16, 0.16, 0.16, 0.16, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.14, 0.14, 0.12, 0.12, 0.12, 0.12, 0.11, 0.11, 0.09, 0.09, 0.08, 0.08], 'num_def_loads': 8, 'def_load_config': [{}, {}, {}, {'thermal_config': {'heating_rate': -5.0, 'sense': 'cool', 'cooling_constant': 0.6, 'start_temperature': 25.8, 'overshoot_temperature': 20.0, 'desired_temperatures': [24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24]}}, {'thermal_config': {'heating_rate': 6.0, 'sense': 'heat', 'cooling_constant': 0.014, 'overshoot_temperature': 65.0, 'start_temperature': 64.0, 'desired_temperatures': [60, 60, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40]}}, {}, {}, {}], 'alpha': 0, 'beta': 1, 'def_total_hours': [40, 0, 0, 57, 5, 0, 24, 0], 'def_current_state': [1, 1, 0, 1, 0, 0, 0, 0], 'def_start_timestep': [0, 0, 0, 0, 0, 0, 0, 0], 'def_end_timestep': [0, 0, 0, 0, 0, 0, 0, 0], 'P_deferrable_nom': [440, 5500, 11520, 11000.0, 600, 11520, 770, 6000], 'treat_def_as_semi_cont': [1, 1, 0, 0, 1, 0, 1, 0], 'set_def_constant': [0, 0, 0, 0, 0, 0, 0, 0], 'def_start_penalty': [1, 0, 1, 1, 1, 1, 0, 0], 'weight_battery_charge': 0.0, 'weight_battery_discharge': 0.0, 'battery_nominal_energy_capacity': 160000, 'battery_discharge_power_max': 30000, 'battery_charge_power_max': 34501.747, 'soc_final': 0.85, 'battery_minimum_state_of_charge': 0.13, 'weather_forecast_cache_only': True, 'optimization_time_step': 30, 'entity_save': 'True', 'dont_post': 'False', 'soc_init': 0.55548}
...
...
[2026-01-25 12:32:12,480] INFO in forecast: Retrieving weather forecast data using method = open-meteo
[2026-01-25 12:32:12,480] INFO in forecast: Loading existing cached Open-Meteo JSON file: /share/cached-open-meteo-forecast-b.json
[2026-01-25 12:32:12,481] INFO in forecast: The cached Open-Meteo JSON file is recent (age=16m, max_age=120m)
[2026-01-25 12:32:12,488] DEBUG in forecast: get_weather_forecast returning:
                           temp_air  relative_humidity  ...    dhi    dni
2026-01-25 12:30:00+10:00      31.3                 54  ...  334.0  321.0
2026-01-25 13:00:00+10:00      31.5                 54  ...  333.7  307.3
2026-01-25 13:30:00+10:00      31.5                 54  ...  319.5  337.7
2026-01-25 14:00:00+10:00      31.5                 54  ...  276.8  416.4
2026-01-25 14:30:00+10:00      32.0                 53  ...  220.6  524.6
...                             ...                ...  ...    ...    ...
2026-01-28 10:00:00+10:00      26.0                 56  ...  189.1  825.3
2026-01-28 10:30:00+10:00      26.6                 54  ...  210.6  811.8
2026-01-28 11:00:00+10:00      27.2                 52  ...  228.9  797.2
2026-01-28 11:30:00+10:00      27.8                 51  ...  245.1  780.6
2026-01-28 12:00:00+10:00      28.3                 50  ...  255.2  764.8
[144 rows x 8 columns]
...
...
[2026-01-25 12:32:12,984] INFO in optimization: Building CVXPY problem structure...
[2026-01-25 12:32:12,985] DEBUG in optimization: Processing deferrable load 0
[2026-01-25 12:32:12,985] DEBUG in optimization: Processing deferrable load 1
[2026-01-25 12:32:12,985] DEBUG in optimization: Processing deferrable load 2
[2026-01-25 12:32:12,986] DEBUG in optimization: Processing deferrable load 3
[2026-01-25 12:32:12,986] DEBUG in optimization: Prepared outdoor_temp (len=144, dtype=float64): [15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0]
[2026-01-25 12:32:12,987] DEBUG in optimization: Processing deferrable load 4
[2026-01-25 12:32:12,987] DEBUG in optimization: Prepared outdoor_temp (len=144, dtype=float64): [15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0, 15.0]
[2026-01-25 12:32:12,988] DEBUG in optimization: Processing deferrable load 5
[2026-01-25 12:32:12,994] DEBUG in optimization: Processing deferrable load 6
[2026-01-25 12:32:12,994] DEBUG in optimization: Processing deferrable load 7

optimization.py:757

        if len(outdoor_temp) < required_len:
            pad = np.full(required_len - len(outdoor_temp), 15.0)
            outdoor_temp = np.concatenate((outdoor_temp, pad))
        outdoor_temp = outdoor_temp[:required_len]

        # DEBUG: log prepared outdoor temperature array
        self.logger.debug(
            "Prepared outdoor_temp (len=%d, dtype=%s): %s",
            len(outdoor_temp),
            getattr(outdoor_temp, "dtype", type(outdoor_temp)),
            outdoor_temp.tolist(),
        )

[davidusb-geek]

Testing a fix here at PR #702

[davidusb-geek]

I've published the test image on that branch, so you can test this fix using the add-on test image

[davidusb-geek]

A new test image is available. Give it a try if you can.