feat(application): integrate measured-load ingestion training and planner source

services/netplan-v4/acceptance/forecast-src/methods/var_11.py

@@ -0,0 +1,12 @@
+from telemetry_quality import repeat_daily_profile
+import datetime
+from methods.common import save_model
+
+
+def train(data_obj):
+    aid = data_obj["config"]["anlagen_id"]
+    return {"trained": True, "path": save_model(aid, 11, {"type": "repeat_load_24h"})}
+
+
+def predict(data_obj):
+    return repeat_daily_profile(data_obj["df_hist"], data_obj["df_fut"].index, 'Hausverbrauch')