76_SolarForecast - Informationen/Ideen zu Weiterentwicklung und Support

DS_Starter · 11 Januar 2026, 22:21:49

Ich habe an den AI Semantiken weitergearbeitet, die sich in den Profilen

v1_common_active_pv
v1_heatpump_active_pv

positiv auswirken sollten.

Das contrib ist upgedated.

stefanru · 12 Januar 2026, 02:54:39

Irgendwie hat es mir jetzt nach dem Update meine Vorhersage Grafik zerhagelt.
Oder liegt das am laufenden Training?
aiControl aiConActivate=1 aiConProfile=v1_heatpump_active_pv

flowGraphicControl size=475 animate=1 showconsumer=1 showconsumerdummy=1 showconsumerpower=1 showconsumerremaintime=0
graphicBeam1Color 3C14FF
graphicBeam1Content pvForecast
graphicBeam2Color 19FF29
graphicBeam2Content pvReal
graphicBeam3Content consumptionForecast
graphicBeam4Color FF1F78
graphicBeam4Content consumption
graphicControl hourCount=16 headerDetail=all layoutType=double beamHeightlevel=1:100,2:100
graphicHistoryHour 8
graphicSelect both
graphicShowNight 0

Ach so zur Grafik es ist kurz vor 03:00.

Danke und Gruß,
Stefan

DS_Starter · 12 Januar 2026, 08:23:52

Moin Stefan,

nein, gibt keine Einflußnahme auf die Grafik und läuft auch alles einwandfrei.
Deine Grafik sieht mir eher nach Browser/JS -Thema aus.

Grüße,
Heiko

TheTrumpeter · 12 Januar 2026, 08:50:19

Zitat von: 300P am 09 Januar 2026, 16:16:26
Zitat von: TheTrumpeter am 09 Januar 2026, 13:00:31Hab' das grad durchgeschaut, finde aber nirgends einen Hinweis was/wie ich die WP konfigurieren/bekanntmachen muss.

Zusatzinstallierung notwendig:
Zuerst versuch es mal so in der Reihenfolge - bei meinem RPI4 hat es so geklappt.

Code Auswählen Erweitern
sudo su apt-get update && apt-get upgrade sudo apt-get install gcc sudo apt-get install libfann-dev sudo cpan AI::FANN
Bei mir lief es dann so sauber durch.

Dann Contrib - Version laden / 1 x restart FHEM

Dies (o.ä.) zum "attr Forecast aiControl" hinzufügen
Code Auswählen Erweitern
aiConActivate=1\ aiConAlpha=1\ aiConTrainStart=1:2\ aiConActFunc=SIGMOID\ aiConHiddenLayers=80-40-20\ aiConLearnRate=0.005\ aiConMomentum=0.8\ aiConShuffleMode=2\ aiConSteepness=0.5\ aiConTrainAlgo=INCREMENTAL
Jetzt noch bei "attr Forecast ctrlDebug"
Code Auswählen Erweitern
aiProcessanklicken damit du was siehst.

und dann hiermit deine Wärmepumpe (ab V2.0.0.) an SF bekanntgeben

EDIT:
Ach ganz vergessen - dann must du erstmalig ein langandauerndes AI-Training anwerfen ehe du etwas siehst...
Code Auswählen Erweitern
set <SF> aiDecTree runConTrain

Super Danke...

Installiert, parametriert, und läuft mal...

Code Auswählen

2026.01.12 08:48:14 1: mySolarForecast DEBUG> AI FANN Training for Consumption Forecast BlockingCall PID "18554" with Timeout 86400 s started
2026.01.12 08:48:15 1: mySolarForecast DEBUG> AI FANN - There are 3837 Records skipped due to incomplete or invalid data. Index: 
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2025020317, 2025020408, 2025020409, 2025033003, 2025041613, 2025042314, 2025042618, 2025051610, 2025051620, 2025061211, 2025062615, 2025062714, 2025072409, 2025073009, 2025073010, 2025073011, 2025073012, 2025090814, 2025112810
2026.01.12 08:48:15 1: mySolarForecast DEBUG> AI FANN - Target-Norm: raw_max=5012, p99=3569, p99.5=4923, targmaxval=6400
2026.01.12 08:48:15 1: mySolarForecast DEBUG> AI FANN - True Outliers above p99.5 (4923): 5012
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8003]: lag1=0.589 hppf=0.203 lag24=0.345 d1p=0.000 d1n=0.328 rollstd=0.552 up=0 down=1 upS=0.000 downS=0.328 vol=1 pvX=0 break=1
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8003]: tmplag1=0.463 tmplag3=0.450 tmplag24=0.475 tmpd1p=0.012 tmpd1n=0.000 tmpd3p=0.025 tmpd3n=0.000 tmpTrdp=0.019 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8004]: lag1=0.391 hppf=0.203 lag24=0.320 d1p=0.039 d1n=0.000 rollstd=0.463 up=1 down=0 upS=0.039 downS=0.000 vol=1 pvX=0 break=1
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8004]: tmplag1=0.475 tmplag3=0.450 tmplag24=0.475 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.025 tmpd3n=0.000 tmpTrdp=0.012 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8005]: lag1=0.418 hppf=0.203 lag24=0.320 d1p=0.000 d1n=0.142 rollstd=0.297 up=0 down=1 upS=0.000 downS=0.142 vol=1 pvX=0 break=1
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8005]: tmplag1=0.475 tmplag3=0.463 tmplag24=0.463 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.012 tmpd3n=0.000 tmpTrdp=0.006 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8006]: lag1=0.332 hppf=0.203 lag24=0.318 d1p=0.000 d1n=0.005 rollstd=0.291 up=0 down=1 upS=0.000 downS=0.005 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8006]: tmplag1=0.475 tmplag3=0.475 tmplag24=0.450 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.000 tmpTrdp=0.000 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8007]: lag1=0.328 hppf=0.217 lag24=0.310 d1p=0.000 d1n=0.034 rollstd=0.285 up=0 down=1 upS=0.000 downS=0.034 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8007]: tmplag1=0.475 tmplag3=0.475 tmplag24=0.450 tmpd1p=0.000 tmpd1n=0.012 tmpd3p=0.000 tmpd3n=0.012 tmpTrdp=0.000 tmpTrdn=0.012
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8008]: lag1=0.308 hppf=0.231 lag24=0.334 d1p=0.000 d1n=0.267 rollstd=0.307 up=0 down=1 upS=0.000 downS=0.267 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8008]: tmplag1=0.463 tmplag3=0.475 tmplag24=0.438 tmpd1p=0.000 tmpd1n=0.013 tmpd3p=0.000 tmpd3n=0.025 tmpTrdp=0.000 tmpTrdn=0.019
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8009]: lag1=0.146 hppf=0.231 lag24=0.249 d1p=0.000 d1n=0.061 rollstd=0.280 up=0 down=1 upS=0.000 downS=0.061 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8009]: tmplag1=0.450 tmplag3=0.475 tmplag24=0.438 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.025 tmpTrdp=0.000 tmpTrdn=0.012
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8010]: lag1=0.109 hppf=0.231 lag24=0.053 d1p=0.000 d1n=0.019 rollstd=0.353 up=0 down=1 upS=0.000 downS=0.019 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8010]: tmplag1=0.450 tmplag3=0.463 tmplag24=0.425 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.013 tmpTrdp=0.000 tmpTrdn=0.006
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8011]: lag1=0.098 hppf=0.231 lag24=0.062 d1p=0.017 d1n=0.000 rollstd=0.335 up=1 down=0 upS=0.017 downS=0.000 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8011]: tmplag1=0.450 tmplag3=0.450 tmplag24=0.425 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.000 tmpTrdp=0.000 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8012]: lag1=0.109 hppf=0.245 lag24=0.088 d1p=0.000 d1n=0.037 rollstd=0.313 up=0 down=1 upS=0.000 downS=0.037 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8012]: tmplag1=0.450 tmplag3=0.450 tmplag24=0.425 tmpd1p=0.000 tmpd1n=0.013 tmpd3p=0.000 tmpd3n=0.013 tmpTrdp=0.000 tmpTrdn=0.013
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8013]: lag1=0.087 hppf=0.245 lag24=0.082 d1p=0.000 d1n=0.086 rollstd=0.245 up=0 down=1 upS=0.000 downS=0.086 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8013]: tmplag1=0.438 tmplag3=0.450 tmplag24=0.412 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.013 tmpTrdp=0.000 tmpTrdn=0.006
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8014]: lag1=0.035 hppf=0.260 lag24=0.081 d1p=0.000 d1n=0.009 rollstd=0.107 up=0 down=1 upS=0.000 downS=0.009 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8014]: tmplag1=0.438 tmplag3=0.450 tmplag24=0.412 tmpd1p=0.000 tmpd1n=0.013 tmpd3p=0.000 tmpd3n=0.025 tmpTrdp=0.000 tmpTrdn=0.019
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8015]: lag1=0.029 hppf=0.090 lag24=0.084 d1p=0.006 d1n=0.000 rollstd=0.107 up=1 down=0 upS=0.006 downS=0.000 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8015]: tmplag1=0.425 tmplag3=0.438 tmplag24=0.600 tmpd1p=0.175 tmpd1n=0.000 tmpd3p=0.162 tmpd3n=0.000 tmpTrdp=0.169 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8016]: lag1=0.033 hppf=0.275 lag24=0.088 d1p=0.000 d1n=0.002 rollstd=0.107 up=0 down=0 upS=0.000 downS=0.002 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8016]: tmplag1=0.600 tmplag3=0.438 tmplag24=0.425 tmpd1p=0.000 tmpd1n=0.188 tmpd3p=0.000 tmpd3n=0.025 tmpTrdp=0.000 tmpTrdn=0.106
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8017]: lag1=0.032 hppf=0.275 lag24=0.087 d1p=0.000 d1n=0.004 rollstd=0.102 up=0 down=0 upS=0.000 downS=0.004 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8017]: tmplag1=0.412 tmplag3=0.425 tmplag24=0.412 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.013 tmpTrdp=0.000 tmpTrdn=0.006
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8018]: lag1=0.030 hppf=0.275 lag24=0.083 d1p=0.000 d1n=0.000 rollstd=0.066 up=0 down=0 upS=0.000 downS=0.000 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8018]: tmplag1=0.412 tmplag3=0.600 tmplag24=0.412 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.188 tmpTrdp=0.000 tmpTrdn=0.094
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8019]: lag1=0.030 hppf=0.290 lag24=0.081 d1p=0.045 d1n=0.000 rollstd=0.005 up=1 down=0 upS=0.045 downS=0.000 vol=0 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8019]: tmplag1=0.412 tmplag3=0.412 tmplag24=0.412 tmpd1p=0.000 tmpd1n=0.012 tmpd3p=0.000 tmpd3n=0.012 tmpTrdp=0.000 tmpTrdn=0.012
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8020]: lag1=0.061 hppf=0.290 lag24=0.082 d1p=0.031 d1n=0.000 rollstd=0.035 up=1 down=0 upS=0.031 downS=0.000 vol=0 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8020]: tmplag1=0.400 tmplag3=0.412 tmplag24=0.425 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.012 tmpTrdp=0.000 tmpTrdn=0.006
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8021]: lag1=0.083 hppf=0.290 lag24=0.085 d1p=0.046 d1n=0.000 rollstd=0.064 up=1 down=0 upS=0.046 downS=0.000 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8021]: tmplag1=0.400 tmplag3=0.412 tmplag24=0.425 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.012 tmpTrdp=0.000 tmpTrdn=0.006
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8022]: lag1=0.114 hppf=0.290 lag24=0.102 d1p=0.165 d1n=0.000 rollstd=0.101 up=1 down=0 upS=0.165 downS=0.000 vol=1 pvX=0 break=0
2026.01.12 08:48:17 1: mySolarForecast - DBG F[8022]: tmplag1=0.400 tmplag3=0.400 tmplag24=0.438 tmpd1p=0.000 tmpd1n=0.000 tmpd3p=0.000 tmpd3n=0.000 tmpTrdp=0.000 tmpTrdn=0.000
2026.01.12 08:48:17 1: mySolarForecast DEBUG> First attempt 0 with Seed=300872
2026.01.12 08:48:18 1: mySolarForecast DEBUG> AI FANN Training started with Params:
input datasets=8017, 
Registry version=v1_heatpump_pv, 
training algo=FANN_TRAIN_INCREMENTAL, 
output AF=LINEAR, 
hidden AF=SIGMOID, 
hidden Neurons=80-40-20, 
hidden steepness=0.5, 
Epoches=15000, 
mse_error=0.001, 
learning rate=0.00500, 
learning momentum=0.8, 
Data sharing=split after shuffle of training data and use AI internal shuffle (Train=6413, Test=1603), 
Data shuffle=2 (period=10)
2026.01.12 08:48:18 1: mySolarForecast DEBUG> Epoche 1: Train MSE=0.014347, Val MSE=0.024200, Val MAE=0.106411, Val MedAE=0.052485, Bit_Fail=60 -> Snap metric improved
2026.01.12 08:48:23 1: mySolarForecast DEBUG> Epoche 10: Train MSE=0.013907, Val MSE=0.024962, Val MAE=0.103846, Val MedAE=0.045119, Bit_Fail=65 -> Snap weighted rmse improved
2026.01.12 08:48:32 1: mySolarForecast DEBUG> Epoche 30: Train MSE=0.013929, Val MSE=0.024963, Val MAE=0.103840, Val MedAE=0.045105, Bit_Fail=65 -> Snap weighted rmse improved
2026.01.12 08:49:02 1: mySolarForecast DEBUG> Epoche 90: Train MSE=0.013952, Val MSE=0.026763, Val MAE=0.099310, Val MedAE=0.031040, Bit_Fail=85 -> Snap weighted rmse improved
2026.01.12 08:49:07 1: mySolarForecast DEBUG> Epoche 100: Train MSE=0.013851, Val MSE=0.023228, Val MAE=0.110755, Val MedAE=0.064122, Bit_Fail=56

In 2-3 Stunden kann ich mit einem ersten Ergebnis rechnen, oder? (RPi 4B)

DS_Starter · 12 Januar 2026, 08:56:37

Könnte passen. Wenn attempt 0 durch ist, kann man die Zeit für einen Durchlauf besser abschätzen. Mehr als 3 passieren üblicherweise nicht.

TheTrumpeter · 12 Januar 2026, 09:18:42

Wenn ich das richtig interpretiere, ist ein Durchgang schon fertig?

Code Auswählen

2026.01.12 09:10:55 1: mySolarForecast DEBUG> Early stopping bei Epoche 2690 (no improvement since 1000 epochs)
2026.01.12 09:10:55 1: === Snapshot-Statistik ===
2026.01.12 09:10:55 1: Metric-Improvement Snapshots:              92 (letzte Epoche: 1681)
2026.01.12 09:10:55 1: Weighted-RMSE-Proxy-Improvement Snapshots: 55 (letzte Epoche: 1690)
2026.01.12 09:10:55 1: Bit-Improvement Snapshots:                 0 (letzte Epoche: 0)
2026.01.12 09:10:55 1: Bit-Tradeoff Snapshots:                    2 (letzte Epoche: 528)
2026.01.12 09:10:55 1: mySolarForecast DEBUG> Best Snapshot reloaded from Epoche 1690: Train MSE=0.001587, Val MSE=0.002532, Val MAE=0.027589, Val MedAE=0.008648, Bit_Fail=0,
2026.01.12 09:10:55 1: mySolarForecast DEBUG> Run Validation Test with 20% of Input data ...
2026.01.12 09:10:55 1: mySolarForecast DEBUG> Validation finished - Best Training MSE=0.001587, Validation MSE=0.002532, Validation Bit_Fail=0
2026.01.12 09:10:55 1: mySolarForecast DEBUG> Retrain check -> 
-- In Normalization Space: -- 
Train MSE=0.001587 
Val MSE=0.002532 
Val Mean=0.0025705388 
VAL/TRAIN MSE Ratio=1.595718 (limit=2.5) 
Diff=0.000945 (limit=0.005) 
ValStd=0.0000881450 (limit=0.000642634699763387) 
-- At Original Scale: -- 
MAE=176.564062253893 
RMSE/MAE=1.4876 (limit=1.5) 
Slope=0.835558 (limit=0.7 .. 1.3) 
Bias=78.80 (limit=+-264.846093380839) 
R2=0.88 
P95=806.8953 (limit=706.25624901557) 
P99=1229.4735 (limit=1412.51249803114) 
-- Robustness Indicators: -- 
RMSE relative=85 (limit=20) 
BitFail=0 (limit=5) 
BitFailRate=0.0000 (limit=0.1) 
Forecast Quality Score=37 
-> Retrain decision=Retrain
2026.01.12 09:10:55 1: mySolarForecast DEBUG> Retry attempt 1 with Seed=11959720
2026.01.12 09:10:55 1: mySolarForecast DEBUG> AI FANN Training started with Params:
input datasets=8017, 
Registry version=v1_heatpump_pv, 
training algo=FANN_TRAIN_INCREMENTAL, 
output AF=LINEAR, 
hidden AF=SIGMOID, 
hidden Neurons=80-40-20, 
hidden steepness=0.5, 
Epoches=15000, 
mse_error=0.001, 
learning rate=0.00500, 
learning momentum=0.8, 
Data sharing=split after shuffle of training data and use AI internal shuffle (Train=6413, Test=1603), 
Data shuffle=2 (period=10)

DS_Starter · 12 Januar 2026, 09:28:52

Ja, genau. Das Momntum learning momentum=0.8 ist etwas zu hoch eingestellt, besser learning momentum=0.4/0.5.
Aber mal abwarten was das Ergebnis ist. Ich hatte gestern viel am Profil v1_common_active_pv, v1_heatpump_active_pv gemacht, was du aber aktuell nicht ausgewählt hast.

TheTrumpeter · 12 Januar 2026, 09:42:23

Zitat von: DS_Starter am 12 Januar 2026, 09:28:52Ich hatte gestern viel am Profil v1_common_active_pv, v1_heatpump_active_pv gemacht, was du aber aktuell nicht ausgewählt hast.

Oh, das habe ich nicht genau genug gelesen, dachte "v1_heatpump_pv" passt eh.

Ich lass' es trotzdem mal durchlaufen (2. Durchgang ist auch schon fertig) und stell' dann auf "v1_heatpump_active_pv" um.

Code Auswählen

2026.01.12 09:39:23 1: mySolarForecast DEBUG> Early stopping bei Epoche 3391 (no improvement since 1000 epochs)
2026.01.12 09:39:23 1: === Snapshot-Statistik ===
2026.01.12 09:39:23 1: Metric-Improvement Snapshots:              95 (letzte Epoche: 2391)
2026.01.12 09:39:23 1: Weighted-RMSE-Proxy-Improvement Snapshots: 55 (letzte Epoche: 2263)
2026.01.12 09:39:23 1: Bit-Improvement Snapshots:                 0 (letzte Epoche: 0)
2026.01.12 09:39:23 1: Bit-Tradeoff Snapshots:                    3 (letzte Epoche: 482)
2026.01.12 09:39:23 1: mySolarForecast DEBUG> Best Snapshot reloaded from Epoche 2391: Train MSE=0.001436, Val MSE=0.002543, Val MAE=0.027361, Val MedAE=0.008083, Bit_Fail=0,
2026.01.12 09:39:23 1: mySolarForecast DEBUG> Run Validation Test with 20% of Input data ...
2026.01.12 09:39:23 1: mySolarForecast DEBUG> Validation finished - Best Training MSE=0.001436, Validation MSE=0.002543, Validation Bit_Fail=0
2026.01.12 09:39:23 1: mySolarForecast DEBUG> Retrain check -> 
-- In Normalization Space: -- 
Train MSE=0.001436 
Val MSE=0.002543 
Val Mean=0.0027083563 
VAL/TRAIN MSE Ratio=1.770873 (limit=2.5) 
Diff=0.001107 (limit=0.005) 
ValStd=0.0001516924 (limit=0.000677089072847024) 
-- At Original Scale: -- 
MAE=175.107371397212 
RMSE/MAE=1.4903 (limit=1.5) 
Slope=0.839147 (limit=0.7 .. 1.3) 
Bias=71.16 (limit=+-262.661057095819) 
R2=0.88 
P95=799.7077 (limit=700.42948558885) 
P99=1229.5355 (limit=1400.8589711777) 
-- Robustness Indicators: -- 
RMSE relative=84 (limit=20) 
BitFail=0 (limit=5) 
BitFailRate=0.0000 (limit=0.1) 
Forecast Quality Score=38 
-> Retrain decision=Retrain
2026.01.12 09:39:23 1: mySolarForecast DEBUG> Retry attempt 2 with Seed=11993500
2026.01.12 09:39:23 1: mySolarForecast DEBUG> AI FANN Training started with Params:
input datasets=8017, 
Registry version=v1_heatpump_pv, 
training algo=FANN_TRAIN_INCREMENTAL, 
output AF=LINEAR, 
hidden AF=SIGMOID, 
hidden Neurons=80-40-20, 
hidden steepness=0.5, 
Epoches=15000, 
mse_error=0.001, 
learning rate=0.00500, 
learning momentum=0.8, 
Data sharing=split after shuffle of training data and use AI internal shuffle (Train=6413, Test=1603), 
Data shuffle=2 (period=10)
2026.01.12 09:39:23 1: mySolarForecast DEBUG> Epoche 1: Train MSE=0.014301, Val MSE=0.024170, Val MAE=0.106522, Val MedAE=0.052795, Bit_Fail=60 -> Snap metric improved